XpressProblem Class

Optimizer interface that allows modeling by objects.

Inheritance Hierarchy

SystemObject
   OptimizerXPRSobject
     OptimizerXPRSprob
       Optimizer.ObjectsXpressProblem

Namespace: Optimizer.Objects
Assembly: xprsdn (in xprsdn.dll) Version: 45.01.02+1f9fd7ff9a8620394fec1839699751312debed40

Syntax

public class XpressProblem : XPRSprob

The XpressProblem type exposes the following members.

Constructors

	Name	Description
	XpressProblem	Create a new problem without internal name. If not yet done then Xpress is initialized with the license found at the default license location. If Xpress is initialized this way then it will be automatically de-initialized once the newly created problem instance is closed.
	XpressProblem(String)	Create a new problem with internal name. If not yet done then Xpress is initialized with the license found at the default license location. If Xpress is initialized this way then it will be automatically de-initialized once the newly created problem instance is closed.
	XpressProblem(IntPtr, XpressProblem)	Create a problem that wraps a native callback problem.
	XpressProblem(String, String)	Create a new problem with internal name and non-default license. If not yet done then Xpress is initialized with the license found at licensePath. If Xpress is initialized this way then it will be automatically de-initialized once the newly created problem instance is closed.

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Properties

	Name	Description
	ActiveNodes	Number of outstanding nodes. (Inherited from XPRSprob)
	AlgAfterCrossOver	The algorithm to be used for the final clean up step after the crossover. (Inherited from XPRSprob)
	AlgAfterNetwork	The algorithm to be used for the clean up step after the network simplex solver. (Inherited from XPRSprob)
	Algorithm	The algorithm the optimizer currently is running / was running just before completition. (Inherited from XPRSprob)
	AlternativeRedCosts	Controls aggressiveness of searching for alternative reduced cost (Inherited from XPRSprob)
	AttentionLevel	A measure between 0 and 1 for how numerically unstable the problem is. The attention level is based on a weighted combination of the number of basis condition numbers exceeding certain thresholds. It considers all nodes sampled by MIPKAPPAFREQ, with a setting of 1 being the most frequent sampling rate. The higher the attention level, the worse conditioned is the problem. (Inherited from XPRSprob)
	AutoCutting	Should the Optimizer automatically decide whether to generate cutting planes at local nodes in the tree or not? If the CUTFREQ control is set, no automatic selection will be made and local cutting will be enabled. (Inherited from XPRSprob)
	AutoPerturb	Simplex: This indicates whether automatic perturbation is performed. If this is set to 1, the problem will be perturbed whenever the simplex method encounters an excessive number of degenerate pivot steps, thus preventing the Optimizer being hindered by degeneracies. (Inherited from XPRSprob)
	AutoScaling	Whether the Optimizer should automatically select between different scaling algorithms. If the SCALING control is set, no automatic scaling will be applied. (Inherited from XPRSprob)
	AvailableMemory	The amount of heap memory detected by Xpress as free. (Inherited from XPRSprob)
	BackgroundMaxThreads	Limit the number of threads to use in background jobs (for example in parallel to the root cut loop). (Inherited from XPRSprob)
	BackgroundSelect	Bit-vector control (see Section ) to select which tasks to run in background jobs (for example in parallel to the root cut loop). (Inherited from XPRSprob)
	BackTrack	Branch and Bound: Specifies how to select the next node to work on when a full backtrack is performed. (Inherited from XPRSprob)
	BacktrackTie	Branch and Bound: Specifies how to break ties when selecting the next node to work on when a full backtrack is performed. The options are the same as for the BACKTRACK control. (Inherited from XPRSprob)
	BarAASize	Number of nonzeros in AA^T. (Inherited from XPRSprob)
	BarAlg	This control determines which barrier algorithm is used to solve the problem. Notably, this is also the control to enable the primal-dual hybrid gradient algorithm. (Inherited from XPRSprob)
	BarCGap	Convergence criterion for the Newton barrier algorithm. (Inherited from XPRSprob)
	BarCondA	Absolute condition measure calculated in the last iteration of the barrier algorithm. (Inherited from XPRSprob)
	BarCondD	Condition measure calculated in the last iteration of the barrier algorithm. (Inherited from XPRSprob)
	BarCores	If set to a positive integer it determines the number of physical CPU cores assumed to be present in the system by the barrier and hybrid gradient algorithms. If the value is set to the default value (-1), Xpress will automatically detect the number of cores. (Inherited from XPRSprob)
	BarCrash	Newton barrier and hybrid gradient: This determines the type of crash used for the crossover. During the crash procedure, an initial basis is determined which attempts to speed up the crossover. A good choice at this stage will significantly reduce the number of iterations required to crossover to an optimal solution. The possible values increase proportionally to their time-consumption. (Inherited from XPRSprob)
	BarCrossover	Indicates whether or not the basis crossover phase has been entered. (Inherited from XPRSprob)
	BarDenseCol	Number of dense columns found in the matrix. (Inherited from XPRSprob)
	BarDualInf	Sum of the dual infeasibilities for the Newton barrier algorithm. (Inherited from XPRSprob)
	BarDualObj	Dual objective value calculated by the Newton barrier algorithm. (Inherited from XPRSprob)
	BarDualStop	Newton barrier and hybrid gradient: This is a convergence parameter, representing the tolerance for dual infeasibilities. If the difference between the constraints and their bounds in the dual problem falls below this tolerance in absolute value, optimization will stop and the current solution will be returned. (Inherited from XPRSprob)
	BarFailIterLimit	Newton barrier: The maximum number of consecutive iterations that fail to improve the solution in the barrier algorithm. (Inherited from XPRSprob)
	BarFreeScale	Defines how the barrier algorithm scales free variables. (Inherited from XPRSprob)
	BarGapStop	Newton barrier and hybrid gradient: This is a convergence parameter, representing the tolerance for the relative duality gap. When the difference between the primal and dual objective function values falls below this tolerance, the Optimizer determines that the optimal solution has been found. (Inherited from XPRSprob)
	BarGapTarget	Newton barrier: The target tolerance for the relative duality gap. The barrier algorithm will keep iterating until either BARGAPTARGET is satisfied or until no further improvements are possible. In the latter case, if BARGAPSTOP is satisfied, it will declare the problem optimal. (Inherited from XPRSprob)
	BarhgExtrapolate	Extrapolation parameter for the hybrid gradient algorithm. Although theory suggests that a value of 1 is best, slightly smaller values perform better in general. (Inherited from XPRSprob)
	BarhgMaxRestarts	The maximum number of restarts in the hybrid gradient algorithm. Restarts play the role of iterations in the hybrid gradient algorithm. A log line is printed at every restart, unless BAROUTPUT is set to 0. (Inherited from XPRSprob)
	BarhgOps	Bit-vector control (see Section ) options for the hybrid gradient algorithm. Bits 1, 2 and 3 control which norms of the coefficient matrix are used for solution normalization. The normalization factor is the maximum of the selected norms. By default, or if all three bits are set to 0, the infinity norm is used. The omega parameter referenced in bits 4, 5 and 6 is a measure of the relative magnitudes of the objective and the right-hand side. (Inherited from XPRSprob)
	BarIndefLimit	Newton Barrier. This limits the number of consecutive indefinite barrier iterations that will be performed. The optimizer will try to minimize (resp. maximize) a QP problem even if the Q matrix is not positive (resp. negative) semi-definite. However, the optimizer may detect that the Q matrix is indefinite and this can result in the optimizer not converging. This control specifies how many indefinite iterations may occur before the optimizer stops and reports that the problem is indefinite. It is usual to specify a value greater than one, and only stop after a series of indefinite matrices, as the problem may be found to be indefinite incorrectly on a few iterations for numerical reasons. (Inherited from XPRSprob)
	BarIter	Number of Newton barrier iterations. (Inherited from XPRSprob)
	BarIterative	The maximum number of barrier iterations in which an iterative solver is used instead of the Cholesky decomposition. (Inherited from XPRSprob)
	BarIterLimit	Newton barrier: The maximum number of iterations. While the simplex method usually performs a number of iterations which is proportional to the number of constraints (rows) in a problem, the barrier method standardly finds the optimal solution to a given accuracy after a number of iterations which is independent of the problem size. The penalty is rather that the time for each iteration increases with the size of the problem. BARITERLIMIT specifies the maximum number of iterations which will be carried out by the barrier. (Inherited from XPRSprob)
	BarKeepLastSol	Control BARKEEPLASTSOL. (Inherited from XPRSprob)
	BarKernel	Newton barrier: Defines how centrality is weighted in the barrier algorithm. (Inherited from XPRSprob)
	BarLargeBound	Threshold for the barrier to handle large bounds. (Inherited from XPRSprob)
	BarLSize	Number of nonzeros in L resulting from the Cholesky factorization. (Inherited from XPRSprob)
	BarNumStability	Control BARNUMSTABILITY. (Inherited from XPRSprob) Obsolete
	BarObjPerturb	Defines how the barrier perturbs the objective. (Inherited from XPRSprob)
	BarObjScale	Defines how the barrier scales the objective. (Inherited from XPRSprob)
	BarOrder	Newton barrier: This controls the Cholesky factorization in the Newton-Barrier. (Inherited from XPRSprob)
	BarOrderThreads	If set to a positive integer it determines the number of concurrent threads for the sparse matrix ordering algorithm in the Newton-barrier method. (Inherited from XPRSprob)
	BarOutput	Newton barrier and hybrid gradient: This specifies the level of solution output provided. Output is provided either after each iteration of the algorithm, or else can be turned off completely by this parameter. (Inherited from XPRSprob)
	BarPerturb	Newton barrier: In numerically challenging cases it is often advantageous to apply perturbations on the KKT system to improve its numerical properties. BARPERTURB controlls how much perturbation is allowed during the barrier iterations. By default no perturbation is allowed. Set this parameter with care as larger perturbations may lead to less efficient iterates and the best settings are problem-dependent. (Inherited from XPRSprob)
	BarPresolveOps	Newton barrier: This bit-vector (see Section ) controls the Newton-Barrier specific presolve operations. (Inherited from XPRSprob)
	BarPrimalInf	Sum of the primal infeasibilities for the Newton barrier algorithm. (Inherited from XPRSprob)
	BarPrimalObj	Primal objective value calculated by the Newton barrier algorithm. (Inherited from XPRSprob)
	BarPrimalStop	Newton barrier and hybrid gradient: This is a convergence parameter, indicating the tolerance for primal infeasibilities. If the difference between the constraints and their bounds in the primal problem falls below this tolerance in absolute value, the Optimizer will terminate and return the current solution. (Inherited from XPRSprob)
	BarRefIter	Newton barrier: After terminating the barrier algorithm, further refinement steps can be performed. Such refinement steps are especially helpful if the solution is near to the optimum and can improve primal feasibility and decrease the complementarity gap. It is also often advantageous for the crossover algorithm. BARREFITER specifies the maximum number of such refinement iterations. (Inherited from XPRSprob)
	BarRegularize	This bit-vector control (see Section ) determines how the barrier algorithm applies regularization on the KKT system. (Inherited from XPRSprob)
	BarRhsScale	Defines how the barrier scales the right hand side. (Inherited from XPRSprob)
	BarSing	Number of linearly dependent binding constraints at the optimal barrier solution. These results in singularities in the Cholesky decomposition during the barrier that may cause numerical troubles. Larger dependence means more chance for numerical difficulties. (Inherited from XPRSprob)
	BarSingR	Regularized number of linearly dependent binding constraints at the optimal barrier solution. These results in singularities in the Cholesky decomposition during the barrier that may cause numerical troubles. Larger dependence means more chance for numerical difficulties. (Inherited from XPRSprob)
	BarSolution	This determines whether the barrier has to decide which is the best solution found or return the solution computed by the last barrier iteration. (Inherited from XPRSprob)
	BarStart	Controls the computation of the starting point and warm-starting for the Newton barrier and the hybrid gradient algorithms. (Inherited from XPRSprob)
	BarStartWeight	Newton barrier: This sets a weight for the warm-start point when warm-start is set for the barrier algorithm. Using larger weight gives more emphasis for the supplied starting point. (Inherited from XPRSprob)
	BarStepStop	Newton barrier: A convergence parameter, representing the minimal step size. On each iteration of the barrier algorithm, a step is taken along a computed search direction. If that step size is smaller than BARSTEPSTOP, the Optimizer will terminate and return the current solution. (Inherited from XPRSprob)
	BarThreads	If set to a positive integer it determines the number of threads implemented to run the Newton-barrier and hybrid gradient algorithms. If the value is set to the default value (-1), the THREADS control will determine the number of threads used. (Inherited from XPRSprob)
	BestBound	Value of the best bound determined so far by the MIP search. (Inherited from XPRSprob)
	BigM	The infeasibility penalty used if the "Big M" method is implemented. (Inherited from XPRSprob)
	BigmMethod	Simplex: This specifies whether to use the "Big M" method, or the standard phase I (achieving feasibility) and phase II (achieving optimality). In the "Big M" method, the objective coefficients of the variables are considered during the feasibility phase, possibly leading to an initial feasible basis which is closer to optimal. The side-effects involve possible round-off errors due to the presence of the "Big M" factor in the problem. (Inherited from XPRSprob)
	BoundName	Active bound name. (Inherited from XPRSprob)
	BranchChoice	Once a MIP entity has been selected for branching, this control determines which of the branches is solved first. (Inherited from XPRSprob)
	BranchDisj	Branch and Bound: Determines whether the optimizer should attempt to branch on general split disjunctions during the branch and bound search. (Inherited from XPRSprob)
	BranchStructural	Branch and Bound: Determines whether the optimizer should search for special structure in the problem to branch on during the branch and bound search. (Inherited from XPRSprob)
	BranchValue	The value of the branching variable at a node of the Branch and Bound tree. (Inherited from XPRSprob)
	BranchVar	The branching variable at a node of the Branch and Bound tree. (Inherited from XPRSprob)
	BreadthFirst	The number of nodes to include in the best-first search before switching to the local first search (NODESELECTION=4). (Inherited from XPRSprob)
	CacheSize	Newton Barrier: L2 or L3 (see notes) cache size in kB (kilobytes) of the CPU. On Intel (or compatible) platforms a value of -1 may be used to determine the cache size automatically. If the CPU model is new then the cache size may not be correctly detected by an older release of the software. (Inherited from XPRSprob) Obsolete
	CallbackCheckTimeDelay	Minimum delay in milliseconds between two consecutive executions of the CHECKTIME callback in the same solution process (Inherited from XPRSprob)
	CallbackCheckTimeWorkDelay	Minimum delay in work units between two consecutive executions of the CHECKTIME callback in the same solution process (Inherited from XPRSprob)
	CallbackCount_CutMgr	This attribute counts the number of times the cut manager callback set by addCbCutmgr has been called for the current node, including the current callback call. The value of this attribute should only be used from within the cut manager callback. (Inherited from XPRSprob)
	CallbackCount_OptNode	This attribute counts the number of times the optimal node callback set by addCbOptnode has been called for the current node, including the current callback call. The value of this attribute should only be used from within the optimal node callback. (Inherited from XPRSprob)
	CallbackFromMasterThread	Branch and Bound: specifies whether the MIP callbacks should only be called on the master thread. (Inherited from XPRSprob)
	CheckInputData	Check input arrays for bad data. (Inherited from XPRSprob)
	ChecksOnMaxCutTime	This attribute is used to set the value of the MAXCHECKSONMAXCUTTIME control. Its value is the number of times the optimizer checked the MAXCUTTIME criterion during the last call to the optimization routine mipOptimize. If a run terminates cutting operations on the MAXCUTTIME criterion then the attribute is the negative of the number of times the optimizer checked the MAXCUTTIME criterion up to and including the check when the termination was activated. Note that the attribute is set to zero at the beginning of each call to an optimization routine. (Inherited from XPRSprob)
	ChecksOnMaxTime	This attribute is used to set the value of the MAXCHECKSONMAXTIME control. Its value is the number of times the optimizer checked the MAXTIME criterion during the last call to the optimization routine mipOptimize. If a run terminates on the MAXTIME criterion then the attribute is the negative of the number of times the optimizer checked the MAXTIME criterion up to and including the check when the termination was activated. Note that the attribute is set to zero at the beginning of each call to an optimization routine. (Inherited from XPRSprob)
	CholeskyAlg	Newton barrier: type of Cholesky factorization used; bit-vector-control (see Section ). (Inherited from XPRSprob)
	CholeskyTol	Newton barrier: The tolerance for pivot elements in the Cholesky decomposition of the normal equations coefficient matrix, computed at each iteration of the barrier algorithm. If the absolute value of the pivot element is less than or equal to CHOLESKYTOL, it merits special treatment in the Cholesky decomposition process. (Inherited from XPRSprob)
	Clamping	This bit-vector control (see Section ) allows for the adjustment of returned solution values such that they are always within bounds. (Inherited from XPRSprob)
	Cols	Number of columns (i.e. variables) in the matrix. (Inherited from XPRSprob)
	Compute	Controls whether the next solve is performed directly or on an Insight Compute Interface. (Inherited from XPRSprob)
	ComputeExecService	Selects the Insight execution service that will be used for solving remote optimizations. (Inherited from XPRSprob)
	ComputeExecutions	The number of solves executed on a compute server. (Inherited from XPRSprob)
	ComputeJobPriority	Selects the priority that will be used for remote optimization jobs. (Inherited from XPRSprob)
	ComputeLog	Controls how the run log is fetched when a solve is performed on an Insight Compute Interface. (Inherited from XPRSprob)
	ConcurrentThreads	Determines the number of threads used by the concurrent solver. (Inherited from XPRSprob)
	ConeElems	Number of second order cone coefficients in the problem. (Inherited from XPRSprob)
	Cones	Number of second order and rotated second order cones in the problem. (Inherited from XPRSprob)
	ConflictCuts	Branch and Bound: Specifies how cautious or aggressive the optimizer should be when searching for and applying conflict cuts. Conflict cuts are in-tree cuts derived from nodes found to be infeasible or cut off, which can be used to cut off other branches of the search tree. (Inherited from XPRSprob)
	CoresDetected	Number of logical cores detected by the optimizer, which is the total number of threads the hardware can execute across all CPUs. (Inherited from XPRSprob)
	CoresPerCPU	Used to override the detected value of the number of cores on a CPU. The cache size (either detected or specified via the CACHESIZE control) used in Barrier methods will be divided by this amount, and this scaled-down value will be the amount of cache allocated to each Barrier thread (Inherited from XPRSprob)
	CoresPerCPUDetected	Number of logical cores per CPU unit detected by the optimizer, which is the number of threads each CPU can execute. (Inherited from XPRSprob)
	CoverCuts	Branch and Bound: The number of rounds of lifted cover inequalities at the root node. A lifted cover inequality is an additional constraint that can be particularly effective at reducing the size of the feasible region without removing potential integral solutions. The process of generating these can be carried out a number of times, further reducing the feasible region, albeit incurring a time penalty. There is usually a good payoff from generating these at the root node, since these inequalities then apply to every subsequent node in the tree search. (Inherited from XPRSprob)
	CpiAlpha	decay term for confined primal integral computation. (Inherited from XPRSprob)
	CpiScaleFactor	scale factor from primal integral computation. (Inherited from XPRSprob)
	CPUPlatform	Newton Barrier: Selects the AMD, Intel x86 or ARM vectorization instruction set that Barrier should run optimized code for. On AMD / Intel x86 platforms the SSE2, AVX and AVX2 instruction sets are supported while on ARM platforms the NEON architecture extension can be activated. (Inherited from XPRSprob)
	CPUsDetected	Number of CPU units detected by the optimizer. (Inherited from XPRSprob)
	CPUTime	How time should be measured when timings are reported in the log and when checking against time limits (Inherited from XPRSprob)
	Crash	Simplex: This determines the type of crash used when the algorithm begins. During the crash procedure, an initial basis is determined which is as close to feasibility and triangularity as possible. A good choice at this stage will significantly reduce the number of iterations required to find an optimal solution. The possible values increase proportionally to their time-consumption. (Inherited from XPRSprob)
	CrossOver	Newton barrier and hybrid gradient: This control determines whether the barrier method will cross over to the simplex method when at optimal solution has been found, to provide an end basis (see getBasis, writeBasis) and advanced sensitivity analysis information (see objsa, rHSsa, bndsa). (Inherited from XPRSprob)
	CrossoverAccuracyTol	Newton barrier: This control determines how crossover adjusts the default relative pivot tolerance. When re-inversion is necessary, crossover will compare the recalculated working basic solution with the assumed ones just before re-inversion took place. If the error is above this threshold, crossover will adjust the relative pivot tolerance to address the build-up of numerical inaccuracies. (Inherited from XPRSprob)
	CrossOverDRP	Control CROSSOVERDRP. (Inherited from XPRSprob)
	CrossOverFeasWeight	Control CROSSOVERFEASWEIGHT. (Inherited from XPRSprob)
	CrossoverIter	Number of simplex iterations performed in crossover. (Inherited from XPRSprob)
	CrossoverIterLimit	Newton barrier and hybrid gradient: The maximum number of iterations that will be performed in the crossover procedure before the optimization process terminates. (Inherited from XPRSprob)
	CrossoverOps	Newton barrier and hybrid gradient: a bit-vector (see Section ) for adjusting the behavior of the crossover procedure. (Inherited from XPRSprob)
	CrossOverRelPivotTol	Control CROSSOVERRELPIVOTTOL. (Inherited from XPRSprob)
	CrossOverRelPivotTolSafe	Control CROSSOVERRELPIVOTTOLSAFE. (Inherited from XPRSprob)
	CrossoverThreads	Determines the maximum number of threads that parallel crossover is allowed to use. If CROSSOVERTHREADS is set to the default value (-1), the BARTHREADS control will determine the number of threads used. (Inherited from XPRSprob)
	CurrentMemory	The amount of dynamically allocated heap memory by the problem being solved. (Inherited from XPRSprob)
	CurrentNode	The unique identifier of the current node in the tree search. (Inherited from XPRSprob)
	CurrMipCutOff	The current MIP cut off. (Inherited from XPRSprob)
	CutDepth	Branch and Bound: Sets the maximum depth in the tree search at which cuts will be generated. Generating cuts can take a lot of time, and is often less important at deeper levels of the tree since tighter bounds on the variables have already reduced the feasible region. A value of 0 signifies that no cuts will be generated. (Inherited from XPRSprob)
	CutFactor	Limit on the number of cuts and cut coefficients the optimizer is allowed to add to the matrix during tree search. The cuts and cut coefficients are limited by CUTFACTOR times the number of rows and coefficients in the initial matrix. (Inherited from XPRSprob)
	CutFreq	Branch and Bound: This specifies the frequency at which cuts are generated in the tree search. If the depth of the node modulo CUTFREQ is zero, then cuts will be generated. (Inherited from XPRSprob)
	CutRounds	Number of rounds of cuts applied to the current node of a branch-and-bound search. (Inherited from XPRSprob)
	Cuts	Number of cuts being added to the matrix. (Inherited from XPRSprob)
	CutSelect	A bit-vector (see Section ) providing detailed control of the cuts created for the root node of a MIP solve. Use TREECUTSELECT to control cuts during the tree search. (Inherited from XPRSprob)
	CutStrategy	Branch and Bound: This specifies the cut strategy. A more aggressive cut strategy, generating a greater number of cuts, will result in fewer nodes to be explored, but with an associated time cost in generating the cuts. The fewer cuts generated, the less time taken, but the greater subsequent number of nodes to be explored. (Inherited from XPRSprob)
	DefaultAlg	This selects the algorithm that will be used to solve LPs, standalone or during MIP optimization. (Inherited from XPRSprob)
	DenseColLimit	Newton barrier: Columns with more than DENSECOLLIMIT elements are considered to be dense. Such columns will be handled specially in the Cholesky factorization of this matrix. (Inherited from XPRSprob)
	Deterministic	Selects whether to use a deterministic or opportunistic mode when solving a problem using multiple threads. (Inherited from XPRSprob)
	DetLogFreq	Control DETLOGFREQ. (Inherited from XPRSprob)
	DualGradient	Simplex: This specifies the dual simplex pricing method. (Inherited from XPRSprob)
	DualInfeas	Number of dual infeasibilities. (Inherited from XPRSprob)
	Dualize	For a linear problem or the initial linear relaxation of a MIP, determines whether to form and solve the dual problem. (Inherited from XPRSprob)
	DualizeOps	Bit-vector control (see Section ) for adjusting the behavior when a problem is dualized. (Inherited from XPRSprob)
	DualPerturb	The factor by which the problem will be perturbed prior to optimization by dual simplex. A value of 0.0 results in no perturbation prior to optimization. Note the interconnection to the AUTOPERTURB control. If AUTOPERTURB is set to 1, the decision whether to perturb or not is left to the Optimizer. When the problem is automatically perturbed in dual simplex, however, the value of DUALPERTURB will be used for perturbation. (Inherited from XPRSprob)
	DualStrategy	This bit-vector control (see Section ) specifies the dual simplex strategy. (Inherited from XPRSprob)
	DualThreads	Determines the maximum number of threads that dual simplex is allowed to use. If DUALTHREADS is set to the default value (-1), the THREADS control will determine the number of threads used. (Inherited from XPRSprob)
	DummyControl	Control DUMMYCONTROL. (Inherited from XPRSprob)
	EigenValueTol	A quadratic matrix is considered not to be positive semi-definite, if its smallest eigenvalue is smaller than the negative of this value. (Inherited from XPRSprob)
	Elems	Number of matrix nonzeros (elements). (Inherited from XPRSprob)
	ElimFillIn	Amount of fill-in allowed when performing an elimination in presolve . (Inherited from XPRSprob)
	ElimTol	The Markowitz tolerance for the elimination phase of the presolve. (Inherited from XPRSprob)
	ErrorCode	The most recent Optimizer error number that occurred. This is useful to determine the precise error that has occurred, after an Optimizer function has signalled an error by returning a non-zero value. The return value itself is not the error number. Refer to the section for a list of possible error numbers, the errors they indicate, and advice on what they mean and how to resolve them. A short error message may be obtained using getLastError, and all messages may be intercepted using the user output callback function; see addCbMessage. (Inherited from XPRSprob)
	EscapeNames	If characters illegal to an mps or lp file should be escaped to guarantee readability, and whether escaped characters should be transformed back when reading such a file. (Inherited from XPRSprob)
	EtaTol	Tolerance on eta elements. During each iteration, the basis inverse is premultiplied by an elementary matrix, which is the identity except for one column - the eta vector. Elements of eta vectors whose absolute value is smaller than ETATOL are taken to be zero in this step. (Inherited from XPRSprob)
	ExtraCols	The initial number of extra columns to allow for in the matrix. If columns are to be added to the matrix, then, for maximum efficiency, space should be reserved for the columns before the matrix is input by setting the EXTRACOLS control. If this is not done, resizing will occur automatically, but more space may be allocated than the user actually requires. (Inherited from XPRSprob)
	ExtraElems	The initial number of extra matrix elements to allow for in the matrix, including coefficients for cuts. If rows or columns are to be added to the matrix, then, for maximum efficiency, space should be reserved for the extra matrix elements before the matrix is input by setting the EXTRAELEMS control. If this is not done, resizing will occur automatically, but more space may be allocated than the user actually requires. (Inherited from XPRSprob)
	ExtraMIPEnts	The initial number of extra MIP entities to allow for. (Inherited from XPRSprob)
	ExtraRows	The initial number of extra rows to allow for in the matrix, including cuts. If rows are to be added to the matrix, then, for maximum efficiency, space should be reserved for the rows before the matrix is input by setting the EXTRAROWS control. If this is not done, resizing will occur automatically, but more space may be allocated than the user actually requires. (Inherited from XPRSprob)
	ExtraSetElems	The initial number of extra elements in sets to allow for in the matrix. If sets are to be added to the matrix, then, for maximum efficiency, space should be reserved for the set elements before the matrix is input by setting the EXTRASETELEMS control. If this is not done, resizing will occur automatically, but more space may be allocated than the user actually requires. (Inherited from XPRSprob)
	ExtraSets	The initial number of extra sets to allow for in the matrix. If sets are to be added to the matrix, then, for maximum efficiency, space should be reserved for the sets before the matrix is input by setting the EXTRASETS control. If this is not done, resizing will occur automatically, but more space may be allocated than the user actually requires. (Inherited from XPRSprob)
	FeasibilityJump	MIP: Decides if the Feasibility Jump heuristic should be run. The value for this control is either -1 (let Xpress decide), 0 (off) or a value that indicates for which type of models the heuristic should be run. (Inherited from XPRSprob)
	FeasibilityPump	Branch and Bound: Decides if the Feasibility Pump heuristic should be run at the root node. (Inherited from XPRSprob)
	FeasTol	This tolerance determines when a solution is treated as feasible. If the amount by which a constraint's activity violates its right-hand side or ranged bound is less in absolute magnitude than FEASTOL, then the constraint is treated as satisfied. Similarly, if the amount by which a column violates its bounds is less in absolute magnitude than FEASTOL, those bounds are also treated as satisfied. (Inherited from XPRSprob)
	FeasTolPerturb	This tolerance determines how much a feasible primal basic solution is allowed to be perturbed when performing basis changes. The tolerance FEASTOL is always considered as an upper limit for the perturbations, but in some cases smaller value can be more desirable. (Inherited from XPRSprob)
	FeasTolTarget	This specifies the target feasibility tolerance for the solution refiner. (Inherited from XPRSprob)
	ForceOutput	Certain names in the problem object may be incompatible with different file formats (such as names containing spaces for LP files). If the optimizer might be unable to read back a problem because of non-standard names, it will first attempt to write it out using an extended naming convention. If the names would not be possible to extend so that they would be reproducible and recognizable, it will give an error message and won't create the file. If the optimizer might be unable to read back a problem because of non-standard names, it will give an error message and won't create the file. This option may be used to force output anyway. (Inherited from XPRSprob)
	ForceParallelDual	Dual simplex: specifies whether the dual simplex solver should always use the parallel simplex algorithm. By default, when using a single thread, the dual simplex solver will execute a dedicated sequential simplex algorithm. (Inherited from XPRSprob)
	GenConCols	Number of input variables in general constraints (i.e. MIN/MAX/AND/OR/ABS constraints) in the problem. (Inherited from XPRSprob)
	GenCons	The number of general constraints (i.e. MIN/MAX/AND/OR/ABS constraints) in the problem. (Inherited from XPRSprob)
	GenconsAbsTransformation	This control specifies the reformulation method for absolute value general constraints at the beginning of the search. (Inherited from XPRSprob)
	GenconsDualReductions	This parameter specifies whether dual reductions should be applied to reduce the number of columns and rows added when transforming general constraints to MIP structs. (Inherited from XPRSprob)
	GenConVals	Number of constant values in general constraints (MIN/MAX constraints) in the problem. (Inherited from XPRSprob)
	GlobalBoundingBox	If a nonlinear problem cannot be solved due to appearing unbounded, it can automatically be regularized by the application of a bounding box on the variables. If this control is set to a negative value, in a second solving attempt all original variables will be bounded by the absolute value of this control. If set to a positive value, there will be a third solving attempt afterwards, if necessary, in which also all auxiliary variables are bounded by this value. (Inherited from XPRSprob)
	GlobalBoundingboxApplied	Whether a bounding box equal to the absolute value of the GLOBALBOUNDINGBOX control was applied to the problem after the initial solve came back infeasible and if so, to which variables. (Inherited from XPRSprob)
	GlobalLSHeurstrategy	When integer-feasible (for MINLP, any solution for NLP) but nonlinear-infeasible solutions are encountered within a global solve, the integer variables can be fixed and a local solver (as defined by the LOCALSOLVER control) can be called on the remaining continuous problem. This control defines the frequency and effort of such local solves. (Inherited from XPRSprob)
	GlobalNlpCuts	Limit on the number of rounds of outer approximation and convexification cuts generated for the root node, when solving an (MI)NLP to global optimality. (Inherited from XPRSprob)
	GlobalNLPInfeas	Number of nonlinear infeasibilities at the current node of a global solve, measured as the number of violated atomic formulas. (Inherited from XPRSprob)
	GlobalNumInitNlpCuts	Specifies the maximum number of tangent cuts when setting up the initial relaxation during a global solve. By default, the algorithm chooses the number of cuts automatically. Adding more cuts tightens the problem, resulting in a smaller branch-and-bound tree, at the cost of slowing down each LP solve. (Inherited from XPRSprob)
	GlobalSpatialBranchCuttingEffort	Limits the effort that is spent on creating cuts during spatial branching. (Inherited from XPRSprob)
	GlobalSpatialBranchIfPreferOrig	Whether spatial branchings on original variables should be preferred over branching on auxiliary variables that were introduced by the reformulation of the global solver. (Inherited from XPRSprob)
	GlobalSpatialBranchPropagationEffort	Limits the effort that is spent on propagation during spatial branching. (Inherited from XPRSprob)
	GlobalTreeNlpCuts	Limit on the number of rounds of outer approximation and convexification cuts generated for each node in the tree, when solving an (MI)NLP to global optimality. (Inherited from XPRSprob)
	GomCuts	Branch and Bound: The number of rounds of Gomory or lift-and-project cuts at the root node. (Inherited from XPRSprob)
	HeurBeforeLP	Branch and Bound: Determines whether primal heuristics should be run before the initial LP relaxation has been solved. (Inherited from XPRSprob)
	HeurDepth	Branch and Bound: Sets the maximum depth in the tree search at which heuristics will be used to find MIP solutions. It may be worth stopping the heuristic search for solutions after a certain depth in the tree search. A value of 0 signifies that heuristics will not be used. This control no longer has any effect and will be removed from future releases. (Inherited from XPRSprob)
	HeurDiveIterLimit	Branch and Bound: Simplex iteration limit for reoptimizing during the diving heuristic. (Inherited from XPRSprob)
	HeurDiveRandomize	The level of randomization to apply in the diving heuristic. The diving heuristic uses priority weights on rows and columns to determine the order in which to e.g. round fractional columns, or the direction in which to round them. This control determines by how large a random factor these weights should be changed. (Inherited from XPRSprob)
	HeurDiveSoftRounding	Branch and Bound: Enables a more cautious strategy for the diving heuristic, where it tries to push binaries and integer variables to their bounds using the objective, instead of directly fixing them. This can be useful when the default diving heuristics fail to find any feasible solutions. (Inherited from XPRSprob)
	HeurDiveSpeedUp	Branch and Bound: Changes the emphasis of the diving heuristic from solution quality to diving speed. (Inherited from XPRSprob)
	HeurDiveStrategy	Branch and Bound: Chooses the strategy for the diving heuristic. (Inherited from XPRSprob)
	HeurEmphasis	Branch and Bound: This control specifies an emphasis for the search w.r.t. primal heuristics and other procedures that affect the speed of convergence of the primal-dual gap. For problems where the goal is to achieve a small gap but not neccessarily solving them to optimality, it is recommended to set HEUREMPHASIS to 1. This setting triggers many additional heuristic calls, aiming for reducing the gap at the beginning of the search, typically at the expense of an increased time for proving optimality. (Inherited from XPRSprob)
	HeurForceSpecialObj	Branch and Bound: This specifies whether local search heuristics without objective or with an auxiliary objective should always be used, despite the automatic selection of the Optimiezr. Deactivated by default. (Inherited from XPRSprob)
	HeurFreq	Branch and Bound: This specifies the frequency at which heuristics are used in the tree search. Heuristics will only be used at a node if the depth of the node is a multiple of HEURFREQ. (Inherited from XPRSprob)
	HeurMaxSol	Branch and Bound: This specifies the maximum number of heuristic solutions that will be found in the tree search. This control no longer has any effect and will be removed from future releases. (Inherited from XPRSprob)
	HeurNodes	Branch and Bound: This specifies the maximum number of nodes at which heuristics are used in the tree search. This control no longer has any effect and will be removed from future releases. (Inherited from XPRSprob)
	HeursearchBackgroundSelect	Bit-vector control (see Section ) to select which large neighborhood searches to run in the background (for example in parallel to the root cut loop). (Inherited from XPRSprob)
	HeurSearchCopyControls	Select how user-set controls should affect local search heuristics. (Inherited from XPRSprob)
	HeurSearchEffort	Adjusts the overall level of the local search heuristics. (Inherited from XPRSprob)
	HeurSearchFreq	Branch and Bound: This specifies how often the local search heuristic should be run in the tree. (Inherited from XPRSprob)
	HeurSearchRootCutFreq	How frequently to run the local search heuristic during root cutting. This is given as how many cut rounds to perform between runs of the heuristic. Set to zero to avoid applying the heuristic during root cutting. Branch and Bound: This specifies how often the local search heuristic should be run in the tree. (Inherited from XPRSprob)
	HeurSearchRootSelect	A bit-vector control (see Section ) for selecting which local search heuristics to apply on the root node of a MIP solve. Use HEURSEARCHTREESELECT to control local search heuristics during the tree search. (Inherited from XPRSprob)
	HeurSearchTargetSize	Control HEURSEARCHTARGETSIZE. (Inherited from XPRSprob)
	HeurSearchTreeSelect	A bit-vector control (see Section ) for selecting which local search heuristics to apply during the tree search of a MIP solve. Use HEURSEARCHROOTSELECT to control local search heuristics on the root node. (Inherited from XPRSprob)
	HeurSelect	Control HEURSELECT. (Inherited from XPRSprob)
	HeurShiftProp	Determines whether the Shift-and-propagate primal heuristic should be executed. If enabled, Shift-and-propagate is an LP-free primal heuristic that is executed immediately after presolve. (Inherited from XPRSprob)
	HeurThreads	Branch and Bound: The number of threads to dedicate to running heuristics during the root solve. (Inherited from XPRSprob)
	HistoryCosts	Branch and Bound: How to update the pseudo cost for a MIP entity when a strong branch or a regular branch is applied. (Inherited from XPRSprob)
	IfCheckConvexity	Determines if the convexity of the problem is checked before optimization. Applies to quadratic, mixed integer quadratic and quadratically constrained problems. Checking convexity takes some time, thus for problems that are known to be convex it might be reasonable to switch the checking off. (Inherited from XPRSprob)
	IgnoreContainerCpuLimit	Control IGNORECONTAINERCPULIMIT. (Inherited from XPRSprob)
	IgnoreContainerMemoryLimit	Control IGNORECONTAINERMEMORYLIMIT. (Inherited from XPRSprob)
	IISLog	Selects how much information should be printed during the IIS procedure. Please refer to Appendix for a more detailed description of the IIS logging format. (Inherited from XPRSprob)
	IISOps	Selects which part of the restrictions (bounds, constraints, entities) should always be kept in an IIS. This is useful if certain types of restrictions cannot be violated, thus they are known not to be the cause of infeasibility. The IIS obtained this way is irreducible only for the non-protected restrictions. This bit-vector control (see Section ) has an effect only on the deletion filter of the IIS procedure. (Inherited from XPRSprob)
	IISSolStatus	IIS solution status. (Inherited from XPRSprob)
	Indicators	Number of indicator constrains in the problem. (Inherited from XPRSprob)
	IndLinBigM	During presolve, indicator constraints will be linearized using a BigM coefficient whenever that BigM coefficient is small enough. This control defines the largest BigM for which such a linearized version will be added to the problem in addition to the original constraint. If the BigM is even smaller than INDPRELINBIGM, then the original indicator constraint will additionally be dropped from the problem. (Inherited from XPRSprob)
	IndPreLinBigM	During presolve, indicator constraints will be linearized using a BigM coefficient whenever that BigM coefficient is small enough. This control defines the largest BigM for which the original constraint will be replaced by the linearized version. If the BigM is larger than INDPRELINBIGM but smaller than INDLINBIGM, the linearized row will be added but the original indicator constraint is kept as a numerically stable way to check feasibility. (Inherited from XPRSprob)
	InputCols	Number of columns (i.e. variables) in the original matrix before nonlinear reformulations. (Inherited from XPRSprob)
	InputRows	Number of rows (i.e. constraints) in the original matrix before nonlinear reformulations. (Inherited from XPRSprob)
	Inputtol	The tolerance on input values elements. If any value is less than or equal to INPUTTOL in absolute value, it is treated as zero. For the internal zero tolerance see MATRIXTOL. (Inherited from XPRSprob)
	InvertFreq	Simplex: The frequency with which the basis will be inverted. The basis is maintained in a factorized form and on most simplex iterations it is incrementally updated to reflect the step just taken. This is considerably faster than computing the full inverted matrix at each iteration, although after a number of iterations the basis becomes less well-conditioned and it becomes necessary to compute the full inverted matrix. The value of INVERTFREQ specifies the maximum number of iterations between full inversions. (Inherited from XPRSprob)
	InvertMin	Simplex: The minimum number of iterations between full inversions of the basis matrix. See the description of INVERTFREQ for details. (Inherited from XPRSprob)
	IOTimeout	The maximum number of seconds to wait for an I/O operation before it is cancelled. (Inherited from XPRSprob)
	KeepBasis	Simplex: This determines whether the basis should be kept when reoptimizing a problem. The choice is between using a crash basis created at the beginning of simplex or using a basis from a previous solve (if such exists). By default, this control gets (re)set automatically in various situations. By default, it will be automatically set to 1 after a solve that produced a valid basis. This will automatically warmstart a subsequent solve. Explicitly loading a starting basis will also set this control to 1. If the control is explicitly set to 0, any existing basis will be ignored for a new solve, and the Optimizer will start from an ad-hoc crash basis. (Inherited from XPRSprob)
	KeepNRows	How nonbinding rows should be handled by the MPS reader. (Inherited from XPRSprob)
	KnitroParamAlgorithm	Indicates which algorithm to use to solve the problem (Inherited from XPRSprob)
	KnitroParamBarDirectInterval	Controls the maximum number of consecutive conjugate gradient (CG) steps before Knitro will try to enforce that a step is taken using direct linear algebra. (Inherited from XPRSprob)
	KnitroParamBarFeasible	Specifies whether special emphasis is placed on getting and staying feasible in the interior-point algorithms. (Inherited from XPRSprob)
	KnitroParamBarFeasModeTol	Specifies the tolerance in equation that determines whether Knitro will force subsequent iterates to remain feasible. (Inherited from XPRSprob)
	KnitroParamBarInitMu	Specifies the initial value for the barrier parameter : mu used with the barrier algorithms. This option has no effect on the Active Set algorithm. (Inherited from XPRSprob)
	KnitroParamBarInitPt	Indicates whether an initial point strategy is used with barrier algorithms. (Inherited from XPRSprob)
	KnitroParamBarMaxBacktrack	Indicates the maximum allowable number of backtracks during the linesearch of the Interior/Direct algorithm before reverting to a CG step. (Inherited from XPRSprob)
	KnitroParamBarMaxRefactor	Indicates the maximum number of refactorizations of the KKT system per iteration of the Interior/Direct algorithm before reverting to a CG step. (Inherited from XPRSprob)
	KnitroParamBarMuRule	Indicates which strategy to use for modifying the barrier parameter mu in the barrier algorithms. (Inherited from XPRSprob)
	KnitroParamBarPenCons	Indicates whether a penalty approach is applied to the constraints. (Inherited from XPRSprob)
	KnitroParamBarPenRule	Indicates which penalty parameter strategy to use for determining whether or not to accept a trial iterate. (Inherited from XPRSprob)
	KnitroParamBarRelaxCons	(Inherited from XPRSprob)
	KnitroParamBarSwitchRule	Indicates whether or not the barrier algorithms will allow switching from an optimality phase to a pure feasibility phase. (Inherited from XPRSprob)
	KnitroParamBLASOption	(Inherited from XPRSprob)
	KnitroParamDebug	(Inherited from XPRSprob)
	KnitroParamDelta	Specifies the initial trust region radius scaling factor used to determine the initial trust region size. (Inherited from XPRSprob)
	KnitroParamFeastol	Specifies the final relative stopping tolerance for the feasibility error. (Inherited from XPRSprob)
	KnitroParamFeasTolAbs	Specifies the final absolute stopping tolerance for the feasibility error. (Inherited from XPRSprob)
	KnitroParamGradOpt	Specifies how to compute the gradients of the objective and constraint functions. (Inherited from XPRSprob)
	KnitroParamHessOpt	Specifies how to compute the (approximate) Hessian of the Lagrangian. (Inherited from XPRSprob)
	KnitroParamHonorBbnds	Indicates whether or not to enforce satisfaction of simple variable bounds throughout the optimization. (Inherited from XPRSprob)
	KnitroParamInfeasTol	Specifies the (relative) tolerance used for declaring infeasibility of a model. (Inherited from XPRSprob)
	KnitroParamLinSolver	(Inherited from XPRSprob)
	KnitroParamLMSize	Specifies the number of limited memory pairs stored when approximating the Hessian using the limited-memory quasi-Newton BFGS option. (Inherited from XPRSprob)
	KnitroParamMATerminate	(Inherited from XPRSprob)
	KnitroParamMaxCGIt	Specifies the number of limited memory pairs stored when approximating the Hessian using the limited-memory quasi-Newton BFGS option. (Inherited from XPRSprob)
	KnitroParamMaxCrossIt	Specifies the maximum number of crossover iterations before termination. (Inherited from XPRSprob)
	KnitroParamMaxIt	Specifies the maximum number of iterations before termination. (Inherited from XPRSprob)
	KnitroParamMIPBranchRule	Specifies which branching rule to use for MIP branch and bound procedure. (Inherited from XPRSprob)
	KnitroParamMIPDebug	(Inherited from XPRSprob)
	KnitroParamMIPGUBBranch	Specifies whether or not to branch on generalized upper bounds (GUBs). (Inherited from XPRSprob)
	KnitroParamMIPHeuristic	Specifies which MIP heuristic search approach to apply to try to find an initial integer feasible point. (Inherited from XPRSprob)
	KnitroParamMIPHeurMaxIt	(Inherited from XPRSprob)
	KnitroParamMIPImplicatns	Specifies whether or not to add constraints to the MIP derived from logical implications. (Inherited from XPRSprob)
	KnitroParamMIPIntGapAbs	The absolute integrality gap stop tolerance for MIP. (Inherited from XPRSprob)
	KnitroParamMIPIntGapRel	The relative integrality gap stop tolerance for MIP. (Inherited from XPRSprob)
	KnitroParamMIPKnapsack	Specifies rules for adding MIP knapsack cuts. (Inherited from XPRSprob)
	KnitroParamMIPLPAlg	Specifies which algorithm to use for any linear programming (LP) subproblem solves that may occur in the MIP branch and bound procedure. (Inherited from XPRSprob)
	KnitroParamMIPMaxNodes	Specifies the maximum number of nodes explored. (Inherited from XPRSprob)
	KnitroParamMIPMethod	Specifies which MIP method to use. (Inherited from XPRSprob)
	KnitroParamMIPOutInterval	Specifies node printing interval for XKTR_PARAM_MIP_OUTLEVEL when XKTR_PARAM_MIP_OUTLEVEL > 0. (Inherited from XPRSprob)
	KnitroParamMIPOutLevel	Specifies how much MIP information to print. (Inherited from XPRSprob)
	KnitroParamMIPPseudoint	Specifies the method used to initialize pseudo-costs corresponding to variables that have not yet been branched on in the MIP method. (Inherited from XPRSprob)
	KnitroParamMIPRootAlg	Specifies which algorithm to use for the root node solve in MIP (same options as XKTR_PARAM_ALGORITHM user option). (Inherited from XPRSprob)
	KnitroParamMIPRounding	Specifies the MIP rounding rule to apply. (Inherited from XPRSprob)
	KnitroParamMIPSelectRule	Specifies the MIP select rule for choosing the next node in the branch and bound tree. (Inherited from XPRSprob)
	KnitroParamMIPStringMaxIt	Specifies the maximum number of iterations to allow for MIP strong branching solves. (Inherited from XPRSprob)
	KnitroParamMIPStrongCandLim	Specifies the maximum number of candidates to explore for MIP strong branching. (Inherited from XPRSprob)
	KnitroParamMIPStrongLevel	Specifies the maximum number of tree levels on which to perform MIP strong branching. (Inherited from XPRSprob)
	KnitroParamMsMaxBndRange	(Inherited from XPRSprob)
	KnitroParamMSMaxSolves	(Inherited from XPRSprob)
	KnitroParamMSNumToSave	(Inherited from XPRSprob)
	KnitroParamMSSaveTol	(Inherited from XPRSprob)
	KnitroParamMSSeed	(Inherited from XPRSprob)
	KnitroParamMSStartPtRange	(Inherited from XPRSprob)
	KnitroParamMSTerminate	(Inherited from XPRSprob)
	KnitroParamMultiStart	(Inherited from XPRSprob)
	KnitroParamNewPoint	(Inherited from XPRSprob)
	KnitroParamObjRange	Specifies the extreme limits of the objective function for purposes of determining unboundedness. (Inherited from XPRSprob)
	KnitroParamOptTol	Specifies the final relative stopping tolerance for the KKT (optimality) error. (Inherited from XPRSprob)
	KnitroParamOptTolAbs	Specifies the final absolute stopping tolerance for the KKT (optimality) error. (Inherited from XPRSprob)
	KnitroParamOutLev	Controls the level of output produced by Knitro. (Inherited from XPRSprob)
	KnitroParamParNumThreads	(Inherited from XPRSprob)
	KnitroParamPivot	(Inherited from XPRSprob)
	KnitroParamPresolve	Determine whether or not to use the Knitro presolver to try to simplify the model by removing variables or constraints. Specifies conditions for terminating the MIP algorithm. (Inherited from XPRSprob)
	KnitroParamPresolveTol	Determines the tolerance used by the Knitro presolver to remove variables and constraints from the model. (Inherited from XPRSprob)
	KnitroParamScale	Performs a scaling of the objective and constraint functions based on their values at the initial point. (Inherited from XPRSprob)
	KnitroParamSOC	Specifies whether or not to try second order corrections (SOC). (Inherited from XPRSprob)
	KnitroParamXTol	The optimization process will terminate if the relative change in all components of the solution point estimate is less than xtol. (Inherited from XPRSprob)
	L1Cache	Newton barrier: L1 cache size in kB (kilo bytes) of the CPU. On Intel (or compatible) platforms a value of -1 may be used to determine the cache size automatically. (Inherited from XPRSprob) Obsolete
	LNPBest	Number of infeasible MIP entities to create lift-and-project cuts for during each round of Gomory cuts at the root node (see GOMCUTS). (Inherited from XPRSprob)
	LNPIterLimit	Number of iterations to perform in improving each lift-and-project cut. (Inherited from XPRSprob)
	LocalBacktrack	Control LOCALBACKTRACK. (Inherited from XPRSprob)
	LocalChoice	Controls when to perform a local backtrack between the two child nodes during a dive in the branch and bound tree. (Inherited from XPRSprob)
	LocalSolver	Selects the library to use for local solves (Inherited from XPRSprob)
	LocalSolverSelected	Includes information of which Xpress solver has been used to solve the problem (Inherited from XPRSprob)
	LPFlags	A bit-vector control (see Section ) which defines the algorithm for solving an LP problem or the initial LP relaxation of a MIP problem. (Inherited from XPRSprob)
	LpFolding	Simplex and barrier: whether to fold an LP problem before solving it. (Inherited from XPRSprob)
	LPIterLimit	The maximum number of iterations that will be performed by primal simplex or dual simplex before the optimization process terminates. For MIP problems, this is the maximum total number of iterations over all nodes explored by the Branch and Bound method. (Inherited from XPRSprob)
	LPLog	Simplex: The frequency at which the simplex log is printed. (Inherited from XPRSprob)
	LPLogDelay	Time interval between two LP log lines. (Inherited from XPRSprob)
	LPLogStyle	Simplex: The style of the simplex log. (Inherited from XPRSprob)
	LPObjVal	Value of the objective function of the last LP solved. (Inherited from XPRSprob)
	LpRefineIterLimit	This specifies the simplex iteration limit the solution refiner can spend in attempting to increase the accuracy of an LP solution. (Inherited from XPRSprob)
	LPStatus	LP solution status. (Inherited from XPRSprob)
	LUPivotTol	Control LUPIVOTTOL. (Inherited from XPRSprob)
	MarkowitzTol	The Markowitz tolerance used for the factorization of the basis matrix. (Inherited from XPRSprob)
	MatrixName	The matrix name. (Inherited from XPRSprob)
	MatrixTol	The zero tolerance on matrix elements. If the value of a matrix element is less than or equal to MATRIXTOL in absolute value, it is treated as zero. The control applies when solving a problem, for an input tolerance see INPUTTOL. (Inherited from XPRSprob)
	MaxAbsDualInfeas	Maximum calculated absolute dual infeasibility in the unscaled original problem. (Inherited from XPRSprob)
	MaxAbsPrimalInfeas	Maximum calculated absolute primal infeasibility in the unscaled original problem. (Inherited from XPRSprob)
	MaxChecksOnMaxCutTime	This control is intended for use where optimization runs that are terminated using the MAXCUTTIME control are required to be reproduced exactly. This control is necessary because of the inherent difficulty in terminating algorithmic software in a consistent way using temporal criteria. The control value relates to the number of times the optimizer checks the MAXCUTTIME criterion up to and including the check when the termination of cutting was activated. To use the control the user first must obtain the value of the CHECKSONMAXCUTTIME attribute after the run returns. This attribute value is the number of times the optimizer checked the MAXCUTTIME criterion during the last call to the optimization routine mipOptimize. Note that this attribute value will be negative if the optimizer terminated cutting on the MAXCUTTIME criterion. To ensure accurate reproduction of a run the user should first ensure that MAXCUTTIME is set to its default value or to a large value so the run does not terminate again on MAXCUTTIME and then simply set the control MAXCHECKSONMAXCUTTIME to the absolute value of the CHECKSONMAXCUTTIME value. (Inherited from XPRSprob)
	MaxChecksOnMaxTime	This control is intended for use where optimization runs that are terminated using the TIMELIMIT (or the deprecated MAXTIME) control are required to be reproduced exactly. This control is necessary because of the inherent difficulty in terminating algorithmic software in a consistent way using temporal criteria. The control value relates to the number of times the optimizer checks the TIMELIMIT criterion up to and including the check when the termination was activated. To use the control the user first must obtain the value of the CHECKSONMAXTIME attribute after the run returns. This attribute value is the number of times the optimizer checked the TIMELIMIT criterion during the last call to the optimization routine mipOptimize. Note that this attribute value will be negative if the optimizer terminated on the TIMELIMIT criterion. To ensure that a reproduction of a run terminates in the same way the user should first ensure that TIMELIMIT is set to its default value or to a large value so the run does not terminate again on TIMELIMIT and then simply set the control MAXCHECKSONMAXTIME to the absolute value of the CHECKSONMAXTIME value. (Inherited from XPRSprob)
	MaxCutTime	The maximum amount of time allowed for generation of cutting planes and reoptimization. The limit is checked during generation and no further cuts are added once this limit has been exceeded. (Inherited from XPRSprob)
	MaxIIS	This function controls the number of Irreducible Infeasible Sets to be found using the iISAll (IIS-a). (Inherited from XPRSprob)
	MaxImpliedBound	Presolve: When tighter bounds are calculated during MIP preprocessing, only bounds whose absolute value are smaller than MAXIMPLIEDBOUND will be applied to the problem. (Inherited from XPRSprob)
	MaxKappa	Largest basis condition number (also known as kappa) calculated through all nodes sampled by MIPKAPPAFREQ. (Inherited from XPRSprob)
	MaxLocalBacktrack	Branch-and-Bound: How far back up the current dive path the optimizer is allowed to look for a local backtrack candidate node. (Inherited from XPRSprob)
	MaxMCoeffBufferElems	The maximum number of matrix coefficients to buffer before flushing into the internal representation of the problem. Buffering coefficients can offer a significant performance gain when you are building a matrix using chgCoef or chgMCoef, but can lead to a significant memory overhead for large matrices, which this control allows you to influence. (Inherited from XPRSprob)
	MaxMemoryHard	This control sets the maximum amount of memory in megabytes the optimizer should allocate. If this limit is exceeded, the solve will terminate. This control is designed to make the optimizer stop in a controlled manner, so that the problem object is valid once termination occurs. The solve state will be set to incomplete. This is different to an out of memory condition in which case the optimizer returns an error. The optimizer may still allocate memory once the limit is exceeded to be able to finsish the operations and stop in a controlled manner. When RESOURCESTRATEGY is enabled, the control also has the same effect as MAXMEMORYSOFT and will cause the optimizer to try preserving memory when possible. (Inherited from XPRSprob)
	MaxMemorySoft	When RESOURCESTRATEGY is enabled, this control sets the maximum amount of memory in megabytes the optimizer targets to allocate. This may change the solving path, but will not cause the solve to terminate early. To set a hard version of the same, please set MAXMEMORYHARD. (Inherited from XPRSprob)
	MaxMipInfeas	Maximum integer fractionality in the solution. (Inherited from XPRSprob)
	MaxMIPSol	Branch and Bound: This specifies a limit on the number of integer solutions to be found by the Optimizer. It is possible that during optimization the Optimizer will find the same objective solution from different nodes. However, MAXMIPSOL refers to the total number of integer solutions found, and not necessarily the number of distinct solutions. (Inherited from XPRSprob)
	MaxMipTasks	Branch-and-Bound: The maximum number of tasks to run in parallel during a MIP solve. (Inherited from XPRSprob)
	MaxNode	Branch and Bound: The maximum number of nodes that will be explored. (Inherited from XPRSprob)
	MaxPageLines	Number of lines between page breaks in printable output. (Inherited from XPRSprob)
	MaxProbNameLength	Maximum size of the problem name and also the maximum allowed length of the file or path string for any function that accepts such an argument (not including the null terminator). (Inherited from XPRSprob)
	MaxRelDualInfeas	Maximum calculated relative dual infeasibility in the unscaled original problem. (Inherited from XPRSprob)
	MaxRelPrimalInfeas	Maximum calculated relative primal infeasibility in the unscaled original problem. (Inherited from XPRSprob)
	MaxScaleFactor	This determines the maximum scaling factor that can be applied during scaling. The maximum is provided as an exponent of a power of 2. (Inherited from XPRSprob)
	MaxStallTime	The maximum time in seconds that the Optimizer will continue to search for improving solution after finding a new incumbent. (Inherited from XPRSprob)
	MaxTime	The maximum time in seconds that the Optimizer will run before it terminates, including the problem setup time and solution time. For MIP problems, this is the total time taken to solve all nodes. (Inherited from XPRSprob) Obsolete
	MaxTreeFileSize	The maximum size, in megabytes, to which the tree file may grow, or 0 for no limit. When the tree file reaches this limit, a second tree file will be created. Useful if you are using a filesystem that puts a maximum limit on the size of a file. (Inherited from XPRSprob)
	MCFCutStrategy	Level of Multi-Commodity Flow (MCF) cutting planes separation: This specifies how much aggresively MCF cuts should be separated. If the separation of MCF cuts is enabled, Xpress will try to detect a MCF network structure in the problem and, if such a structure is identified, it will separate specific cutting planes exploiting the identified network. (Inherited from XPRSprob)
	MemoryLimitDetected	The detected amount of memory accessible to the solver process, in megabytes. This is the minimum of physical memory, virtual memory limitations, and detected container limitations (Linux only). (Inherited from XPRSprob)
	MIPAbsCutoff	Branch and Bound: If the user knows that they are interested only in values of the objective function which are better than some value, this can be assigned to MIPABSCUTOFF. This allows the Optimizer to ignore solving any nodes which may yield worse objective values, saving solution time. When a MIP solution is found a new cut off value is calculated and the value can be obtained from the CURRMIPCUTOFF attribute. The value of CURRMIPCUTOFF is calculated using the MIPRELCUTOFF and MIPADDCUTOFF controls. (Inherited from XPRSprob)
	MIPAbsGapNotify	Branch and bound: if the gapnotify callback has been set using addCbGapNotify, then this callback will be triggered during the tree search when the absolute gap reaches or passes the value you set of the MIPRELGAPNOTIFY control. (Inherited from XPRSprob)
	MIPAbsGapNotifyBound	Branch and bound: if the gapnotify callback has been set using addCbGapNotify, then this callback will be triggered during the tree search when the best bound reaches or passes the value you set of the MIPRELGAPNOTIFYBOUND control. (Inherited from XPRSprob)
	MIPAbsGapNotifyObj	Branch and bound: if the gapnotify callback has been set using addCbGapNotify, then this callback will be triggered during the tree search when the best solution value reaches or passes the value you set of the MIPRELGAPNOTIFYOBJ control. (Inherited from XPRSprob)
	MIPAbsStop	Branch and Bound: The absolute tolerance determining whether the tree search will continue or not. It will terminate if    \|MIPOBJVAL - BESTBOUND\| <= MIPABSSTOP where MIPOBJVAL is the value of the best solution's objective function, and BESTBOUND is the current best solution bound. For example, to stop the tree search when a MIP solution has been found and the Optimizer can guarantee it is within 100 of the optimal solution, set MIPABSSTOP to 100. (Inherited from XPRSprob)
	MIPAddCutoff	Branch and Bound: The amount to add to the objective function of the best integer solution found to give the new CURRMIPCUTOFF. Once an integer solution has been found whose objective function is equal to or better than CURRMIPCUTOFF, improvements on this value may not be interesting unless they are better by at least a certain amount. If MIPADDCUTOFF is nonzero, it will be added to CURRMIPCUTOFF each time an integer solution is found which is better than this new value. This cuts off sections of the tree whose solutions would not represent substantial improvements in the objective function, saving processor time. The control MIPABSSTOP provides a similar function but works in a different way. (Inherited from XPRSprob)
	MIPBestObjVal	Objective function value of the best integer solution found. (Inherited from XPRSprob)
	MipComponents	Determines whether disconnected components in a MIP should be solved as separate MIPs. There can be significant performence benefits from solving disconnected components individual instead of being part of the main branch-and-bound search. (Inherited from XPRSprob)
	MipConcurrentNodes	Sets the node limit for when a winning solve is selected when concurrent MIP solves are enabled. When multiple MIP solves are started, they each run up to the MIPCONCURRENTNODES node limit and only one winning solve is selected for contuinuing the search with. (Inherited from XPRSprob)
	MipConcurrentSolves	Selects the number of concurrent solves to start for a MIP. Each solve will use a unique random seed for its random number generator, but will otherwise apply the same user controls. The first concurrent solve to complete will have solved the MIP and all the concurrent solves will be terminated at this point. Using concurrent solves can be advantageous when a MIP displays a high level of performance variability. (Inherited from XPRSprob)
	MIPDualReductions	Branch and Bound: Limits operations that can reduce the MIP solution space. (Inherited from XPRSprob)
	MIPEnts	Number of MIP entities (i.e. binary, integer, semi-continuous, partial integer, and semi-continuous integer variables) but excluding the number of special ordered sets. (Inherited from XPRSprob)
	MipFracReduce	Branch and Bound: Specifies how often the optimizer should run a heuristic to reduce the number of fractional integer variables in the node LP solutions. (Inherited from XPRSprob)
	MIPInfeas	Number of integer infeasibilities, including violations of special ordered sets, at the current node. (Inherited from XPRSprob)
	MIPKappaFreq	Branch and Bound: Specifies how frequently the basis condition number (also known as kappa) should be calculated during the branch-and-bound search. (Inherited from XPRSprob)
	MIPLog	MIP log print control. (Inherited from XPRSprob)
	MIPObjVal	Objective function value of the last integer solution found. (Inherited from XPRSprob)
	MIPPresolve	Branch and Bound: Type of integer processing to be performed. If set to 0, no processing will be performed. This is a bit-vector control (see Section ). (Inherited from XPRSprob)
	MipRampup	Controls the strategy used by the parallel MIP solver during the ramp-up phase of a branch-and-bound tree search. (Inherited from XPRSprob)
	MipRefineIterLimit	This defines an effort limit expressed as simplex iterations for the MIP solution refiner. The limit is per reoptimizations in the MIP refiner. (Inherited from XPRSprob)
	MIPRelCutoff	Branch and Bound: Percentage of the incumbent value to be added to the value of the objective function when an integer solution is found, to give the new value of CURRMIPCUTOFF. The effect is to cut off the search in parts of the tree whose best possible objective function would not be substantially better than the current solution. The control MIPRELSTOP provides a similar functionality but works in a different way. (Inherited from XPRSprob)
	MIPRelGapNotify	Branch and bound: if the gapnotify callback has been set using addCbGapNotify, then this callback will be triggered during the branch and bound tree search when the relative gap reaches or passes the value you set of the MIPRELGAPNOTIFY control. (Inherited from XPRSprob)
	MIPRelStop	Branch and Bound: This determines when the branch and bound tree search will terminate. Branch and bound tree search will stop if:    \|MIPOBJVAL - BESTBOUND\| <= MIPRELSTOP x max(\|BESTBOUND\|,\|MIPOBJVAL\|) where MIPOBJVAL is the value of the best solution's objective function and BESTBOUND is the current best solution bound. For example, to stop the tree search when a MIP solution has been found and the Optimizer can guarantee it is within 5% of the optimal solution, set MIPRELSTOP to 0.05. (Inherited from XPRSprob)
	MipRestart	Branch and Bound: controls strategy for in-tree restarts. (Inherited from XPRSprob)
	MIPRestartFactor	Branch and Bound: Fine tune initial conditions to trigger an in-tree restart. Use a value > 1 to increase the aggressiveness with which the Optimizer restarts. Use a value < 1 to relax the aggressiveness with which the Optimizer restarts. Note that this control does not affect the initial condition on the gap, which must be set separately. (Inherited from XPRSprob)
	MIPRestartGapThreshold	Control MIPRESTARTGAPTHRESHOLD. (Inherited from XPRSprob)
	MIPSolNode	Node at which the last integer feasible solution was found. (Inherited from XPRSprob)
	MIPSols	Number of integer solutions that have been found. (Inherited from XPRSprob)
	MIPSolTime	Time at which the last integer feasible solution was found. (Inherited from XPRSprob)
	MIPStatus	(MIP) solution status. (Inherited from XPRSprob)
	MipTerminationMethod	Branch and Bound: How a MIP solve should be stopped on early termination when there are still active tasks in the system. This can happen when, for example, a time or node limit is reached. (Inherited from XPRSprob)
	MIPThreadID	The ID for the MIP thread. (Inherited from XPRSprob)
	MIPThreads	If set to a positive integer it determines the number of threads implemented to run the parallel MIP code. If MIPTHREADS is set to the default value (-1), the THREADS control will determine the number of threads used. (Inherited from XPRSprob)
	MIPTol	Branch and Bound: This is the tolerance within which a decision variable's value is considered to be integral. (Inherited from XPRSprob)
	MipTolTarget	Target MIPTOL value used by the automatic MIP solution refiner as defined by REFINEOPS. Negative and zero values are ignored. (Inherited from XPRSprob)
	MIQCPAlg	This control determines which algorithm is to be used to solve mixed integer quadratic constrained and mixed integer second order cone problems. (Inherited from XPRSprob)
	MPS18Compatible	Provides compatibility of MPS file output for older MPS readers. (Inherited from XPRSprob)
	MPSBoundName	When reading an MPS file, this control determines which entries from the BOUNDS section will be read. As with all string controls, this is of length 64 characters plus a null terminator, \0. (Inherited from XPRSprob)
	MPSEcho	Determines whether comments in MPS matrix files are to be printed out during matrix input. (Inherited from XPRSprob)
	MPSFormat	Specifies the format of MPS files. (Inherited from XPRSprob)
	MPSNameLength	Control MPSNAMELENGTH. (Inherited from XPRSprob)
	MPSObjName	When reading an MPS file, this control determines which neutral row will be read as the objective function. If this control is set when reading a multi-objective MPS file, only the named objective will be read; all other objectives will be ignored. As with all string controls, this is of length 64 characters plus a null terminator, \0. (Inherited from XPRSprob)
	MPSRangeName	When reading an MPS file, this control determines which entries from the RANGES section will be read. As with all string controls, this is of length 64 characters plus a null terminator, \0. (Inherited from XPRSprob)
	MPSRHSName	When reading an MPS file, this control determines which entries from the RHS section will be read. As with all string controls, this is of length 64 characters plus a null terminator, \0. (Inherited from XPRSprob)
	MsMaxBoundRange	Defines the maximum range inside which initial points are generated by multistart presets (Inherited from XPRSprob)
	MultiObjLog	Log level for multi-objective optimization. (Inherited from XPRSprob)
	MultiObjOps	Modifies the behaviour of the optimizer when solving multi-objective problems. (Inherited from XPRSprob)
	MultiStart	The multistart master control. Defines if the multistart search is to be initiated, or if only the baseline model is to be solved. (Inherited from XPRSprob)
	MultiStart_Log	The level of logging during the multistart run. (Inherited from XPRSprob)
	MultiStart_MaxSolves	The maximum number of jobs to create during the multistart search. (Inherited from XPRSprob)
	MultiStart_MaxTime	The maximum total time to be spent in the mutlistart search. (Inherited from XPRSprob)
	MultiStart_PoolSize	The maximum number of problem objects allowed to pool up before synchronization in the deterministic multistart. (Inherited from XPRSprob)
	MultiStart_Seed	Random seed used for the automatic generation of initial point when loading multistart presets (Inherited from XPRSprob)
	MultiStart_Threads	The maximum number of threads to be used in multistart (Inherited from XPRSprob)
	MutexCallBacks	Branch and Bound: This determines whether the callback routines are mutexed from within the optimizer. (Inherited from XPRSprob)
	NameLength	The length (in 8 character units) of row and column names in the matrix. To allocate a character array to store names, you must allow 8*NAMELENGTH+1 characters per name (the +1 allows for the string terminator character). (Inherited from XPRSprob)
	NetCuts	Control NETCUTS. (Inherited from XPRSprob) Obsolete
	NetStallLimit	Limit the number of degenerate pivots of the network simplex algorithm, before switching to either primal or dual simplex, depending on ALGAFTERNETWORK. (Inherited from XPRSprob)
	NlpCalcThreads	Number of threads used for formula and derivatives evaluations (Inherited from XPRSprob)
	NlpDefaultIV	Default initial value for an SLP variable if none is explicitly given (Inherited from XPRSprob)
	NlpDerivatives	Bitmap describing the method of calculating derivatives (Inherited from XPRSprob)
	NlpDeterministic	Determines if the parallel features of SLP should be guaranteed to be deterministic (Inherited from XPRSprob)
	NlpEqualsColumn	Index of the reserved "=" column (Inherited from XPRSprob)
	NlpEvaluate	Evaluation strategy for user functions (Inherited from XPRSprob)
	NlpFindIV	Option for running a heuristic to find a feasible initial point (Inherited from XPRSprob)
	NlpFuncEval	Bit map for determining the method of evaluating user functions and their derivatives (Inherited from XPRSprob)
	NlpHessian	Second order differentiation mode when using analytical derivatives (Inherited from XPRSprob)
	NlpIfs	Number of internal functions (Inherited from XPRSprob)
	NlpImplicitVariables	Number of SLP variables appearing only in coefficients (Inherited from XPRSprob)
	NlpInfinity	Value returned by a divide-by-zero in a formula (Inherited from XPRSprob)
	NlpJacobian	First order differentiation mode when using analytical derivatives (Inherited from XPRSprob)
	NlpJobID	Unique identifier for the current job (Inherited from XPRSprob)
	NlpKeepBestIter	The iteration in which the returned solution has been found. (Inherited from XPRSprob)
	NlpLinQuadBR	Use linear and quadratic constraints and objective function to further reduce bounds on all variables (Inherited from XPRSprob)
	NlpLog	Level of printing during SLP iterations (Inherited from XPRSprob)
	NlpMaxTime	The maximum time in seconds that the SLP optimization will run before it terminates (Inherited from XPRSprob)
	NlpMeritLambda	Factor by which the net objective is taken into account in the merit function (Inherited from XPRSprob)
	NlpModelCols	Number of model columns in the problem (Inherited from XPRSprob)
	NlpModelRows	Number of model rows in the problem (Inherited from XPRSprob)
	NlpObjVal	Objective function value excluding any penalty costs (Inherited from XPRSprob)
	NlpOptTime	Time spent in optimization (Inherited from XPRSprob)
	NlpOriginalCols	Number of model columns in the extended original problem (Inherited from XPRSprob)
	NlpOriginalRows	Number of model rows in the extended original problem (Inherited from XPRSprob)
	NlpPostsolve	This control determines whether postsolving should be performed automatically (Inherited from XPRSprob)
	NlpPresolve	This control determines whether presolving should be performed on the nonlinear problem prior to starting the main algorithm (Inherited from XPRSprob)
	NlpPresolve_ElimTol	Tolerance for nonlinear eliminations during SLP presolve (Inherited from XPRSprob)
	NlpPresolveEliminations	Number of SLP variables eliminated by XSLPpresolve (Inherited from XPRSprob)
	NlpPresolveLevel	This control determines the level of changes presolve may carry out on the problem and whether column/row indices may change (Inherited from XPRSprob)
	NlpPresolveOps	Bitmap indicating the SLP presolve actions to be taken (Inherited from XPRSprob)
	NlpPresolveZero	Minimum absolute value for a variable which is identified as nonzero during SLP presolve (Inherited from XPRSprob)
	NlpPrimalIntegralAlpha	Decay term for primal integral computation (Inherited from XPRSprob)
	NlpPrimalIntegralRef	Reference solution value to take into account when calculating the primal integral (Inherited from XPRSprob)
	NlpProbing	This control determines whether probing on a subset of variables should be performed prior to starting the main algorithm. Probing runs multiple times bound reduction in order to further tighten the bounding box. (Inherited from XPRSprob)
	NlpReformulate	Controls the problem reformulations carried out before augmentation. This allows SLP to take advantage of dedicated algorithms for special problem classes. (Inherited from XPRSprob)
	NLPSolver	Controls whether to call FICO Xpress Global or one of the local solvers (Inherited from XPRSprob)
	NlpStatus	The solution status of the problem. (Inherited from XPRSprob)
	NlpStopOutOfRange	Stop optimization and return error code if internal function argument is out of range (Inherited from XPRSprob)
	NlpStopStatus	Status of the optimization process. (Inherited from XPRSprob)
	NlpThreads	Default number of threads to be used (Inherited from XPRSprob)
	NlpThreadSafeUserFunc	Defines if user functions are allowed to be called in parallel (Inherited from XPRSprob)
	NlpUFs	Number of user functions (Inherited from XPRSprob)
	NlpUseDerivatives	Indicates whether numeric or analytic derivatives were used to create the linear approximations and solve the problem (Inherited from XPRSprob)
	NlpUserFuncCalls	Number of calls made to user functions (Inherited from XPRSprob)
	NlpValidationFactor	Minimum improvement in validation targets to continue iterating (Inherited from XPRSprob)
	NlpValidationIndex_A	Absolute validation index (Inherited from XPRSprob)
	NlpValidationIndex_K	Relative first order optimality validation index (Inherited from XPRSprob)
	NlpValidationIndex_R	Relative validation index (Inherited from XPRSprob)
	NlpValidationTarget_K	Optimality target tolerance (Inherited from XPRSprob)
	NlpValidationTarget_R	Feasiblity target tolerance (Inherited from XPRSprob)
	NlpValidationTol_A	Absolute tolerance for the XSLPvalidate procedure (Inherited from XPRSprob)
	NlpValidationTol_K	Relative tolerance for the XSLPvalidatekkt procedure (Inherited from XPRSprob)
	NlpValidationTol_R	Relative tolerance for the XSLPvalidate procedure (Inherited from XPRSprob)
	NlpVariables	Number of SLP variables (Inherited from XPRSprob)
	NlpZero	Absolute tolerance (Inherited from XPRSprob)
	NodeDepth	Depth of the current node. (Inherited from XPRSprob)
	NodeProbingEffort	Adjusts the overall level of node probing. (Inherited from XPRSprob)
	Nodes	Number of nodes solved so far in the MIP search. A node is counted as solved when it is either dropped or branched on. (Inherited from XPRSprob)
	NodeSelection	Branch and Bound: This determines which nodes will be considered for solution once the current node has been solved. (Inherited from XPRSprob)
	NonLinearConstraints	Number of nonlinear constraints in the problem (Inherited from XPRSprob)
	NumericalEmphasis	How much emphasis to place on numerical stability instead of solve speed. (Inherited from XPRSprob)
	NumIIS	Number of IISs found. You should first query the IISSOLSTATUS attribute to make sure that the IIS procedure terminated successfully. (Inherited from XPRSprob)
	Objectives	Number of objectives in the problem. (Inherited from XPRSprob)
	ObjectPointer	Returns the C language 'pointer' to the native object that this managed class is wrapping. For internal FICO use only. (Inherited from XPRSobject)
	ObjName	(Inherited from XPRSprob) Obsolete
	ObjRHS	Fixed part of the objective function. (Inherited from XPRSprob)
	ObjScaleFactor	Custom objective scaling factor, expressed as a power of 2. When set, it overwrites the automatic objective scaling factor. A value of 0 means no objective scaling. This control is applied for the full solve, and is independent of any extra scaling that may occur specifically for the barrier or simplex solvers. As it is a power of 2, to scale by 16, set the value of the control to 4. (Inherited from XPRSprob)
	ObjSense	Get objective sense. (Inherited from XPRSprob)
	OBJSense	Sense of the optimization being performed. (Inherited from XPRSprob)
	ObjsToSolve	Number of objectives that will be solved during the current multi-objective solve. (Inherited from XPRSprob)
	ObjVal	Value of the objective function of the last problem solved with optimize. (Inherited from XPRSprob)
	ObservedPrimalIntegral	Value of the (observed) primal integral. (Inherited from XPRSprob)
	OptimalityTol	Simplex: This is the zero tolerance for reduced costs. On each iteration, the simplex method searches for a variable to enter the basis which has a negative reduced cost. The candidates are only those variables which have reduced costs less than the negative value of OPTIMALITYTOL. (Inherited from XPRSprob)
	OptimalityTolTarget	This specifies the target optimality tolerance for the solution refiner. (Inherited from XPRSprob)
	OptimizeTypeUsed	The type of solver used in the last call to optimize, mipOptimize, lpOptimize or nlpOptimize. (Inherited from XPRSprob)
	OriginalCols	Number of columns (i.e. variables) in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalGenconCols	Number of input variables in general constraints in the original problem before presolving. (Inherited from XPRSprob)
	OriginalGencons	Number of general constraints in the original problem before presolving. (Inherited from XPRSprob)
	OriginalGenconVals	Number of constant values in general constraints in the original problem before presolving. (Inherited from XPRSprob)
	OriginalIndicators	Number of indicator constraints in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalMIPEnts	Number of MIP entities (i.e. binary, integer, semi-continuous, partial integer, and semi-continuous integer variables) but excluding the number of special ordered sets in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalPwlpoints	Number of breakpoints of piecewise linear constraints in the original problem before presolving. (Inherited from XPRSprob)
	OriginalPwls	Number of piecewise linear constraints in the original problem before presolving. (Inherited from XPRSprob)
	OriginalQCElems	Number of quadratic row coefficients in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalQConstraints	Number of rows with quadratic coefficients in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalQElems	Number of quadratic non-zeros in the original objective before presolving. (Inherited from XPRSprob)
	OriginalRows	Number of rows (i.e. constraints) in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalSetMembers	Number of variables within special ordered sets (set members) in the original matrix before presolving. (Inherited from XPRSprob)
	OriginalSets	Number of special ordered sets in the original matrix before presolving. (Inherited from XPRSprob)
	OutputControls	This control toggles the printing of all control settings at the beginning of the search. This includes the printing of controls that have been explicitly assigned to their default value. All unset controls are omitted as they keep their default value. (Inherited from XPRSprob)
	OutputLog	This controls the level of output produced by the Optimizer during optimization. In the Console Optimizer, OUTPUTLOG controls which messages are sent to the screen (stdout). When using the Optimizer library, no output is sent to the screen. If the user wishes output to be displayed, they must define a callback function and print messages to the screen themselves. In this case, OUTPUTLOG controls which messages are sent to the user output callback. (Inherited from XPRSprob)
	OutputMask	Mask to restrict the row and column names written to file. As with all string controls, this is of length 64 characters plus a null terminator, \0. (Inherited from XPRSprob)
	OutputTol	Zero tolerance on print values. (Inherited from XPRSprob)
	ParentNode	The parent node of the current node in the tree search. (Inherited from XPRSprob)
	PeakMemory	An estimate of the peak amount of dynamically allocated heap memory by the problem. (Inherited from XPRSprob)
	PeakTotalTreeMemoryUsage	The peak size, in megabytes, that the branch-and-bound search tree reached during the solve. Note that this value will include the uncompressed size of any compressed data and the size of any data saved to the tree file. (Inherited from XPRSprob)
	Penalty	Minimum absolute penalty variable coefficient. BIGM and PENALTY are set by the input routine (readProb (READPROB)) but may be reset by the user prior to lpOptimize (LPOPTIMIZE). (Inherited from XPRSprob)
	PenaltyValue	The weighted sum of violations in the solution to the relaxed problem identified by the infeasibility repair function. (Inherited from XPRSprob)
	PhysicalCoresDetected	The total number of physical cores across all CPUs detected by the optimizer. (Inherited from XPRSprob)
	PhysicalCoresPerCPUDetected	The number of physical cores per CPU detected by the optimizer. (Inherited from XPRSprob)
	PivotTol	Simplex: The zero tolerance for matrix elements. On each iteration, the simplex method seeks a nonzero matrix element to pivot on. Any element with absolute value less than PIVOTTOL is treated as zero for this purpose. (Inherited from XPRSprob)
	PPFactor	The partial pricing candidate list sizing parameter. (Inherited from XPRSprob)
	PreAnalyticcenter	Determines if analytic centers should be computed and used for variable fixing and the generation of alternative reduced costs (-1: Auto 0: Off, 1: Fixing, 2: Redcost, 3: Both) (Inherited from XPRSprob)
	PreBasisRed	Determines if a lattice basis reduction algorithm should be attempted as part of presolve (Inherited from XPRSprob)
	PreBndRedCone	Determines if second order cone constraints should be used for inferring bound reductions on variables when solving a MIP. (Inherited from XPRSprob)
	PreBndRedQuad	Determines if convex quadratic constraints should be used for inferring bound reductions on variables when solving a MIP. (Inherited from XPRSprob)
	PreCliqueStrategy	Determines how much effort to spend on clique covers in presolve. (Inherited from XPRSprob)
	PreCoefElim	Presolve: Specifies whether the optimizer should attempt to recombine constraints in order to reduce the number of non zero coefficients when presolving a mixed integer problem. (Inherited from XPRSprob)
	PreComponents	Presolve: determines whether small independent components should be detected and solved as individual subproblems during root node processing. (Inherited from XPRSprob)
	PreComponentsEffort	Presolve: adjusts the overall effort for the independent component presolver. This control affects working limits for the subproblem solving as well as thresholds when it is called. Increase to put more emphasis on component presolving. (Inherited from XPRSprob)
	PreConeDecomp	Presolve: decompose regular and rotated cones with more than two elements and apply Outer Approximation on the resulting components. (Inherited from XPRSprob)
	PreConfiguration	MIP Presolve: determines whether binary rows with only few repeating coefficients should be reformulated. The reformulation enumerates the extremal feasible configurations of a row and introduces new columns and rows to model the choice between these extremal configurations. This presolve operation can be disabled as part of the (advanced) IP reductions PRESOLVEOPS. (Inherited from XPRSprob)
	PreConvertObjToCons	Presolve: convert a linear or quadratic objective function into an objective transfer constraint (Inherited from XPRSprob)
	PreConvertSeparable	Presolve: reformulate problems with a non-diagonal quadratic objective and/or constraints as diagonal quadratic or second-order conic constraints. (Inherited from XPRSprob)
	PredictedAttLevel	A measure between 0 and 1 to predict how numerically unstable the current MIP solve can be expected to be. After the root LP solve, a machine learning model is used to predict the actual ATTENTIONLEVEL which will only be computed if MIPKAPPAFREQ is set to a nonzero value. If the predicted attention level exceeds a value of 0.1, a message will be printed to the log. (Inherited from XPRSprob)
	PreDomCol	Presolve: Determines the level of dominated column removal reductions to perform when presolving a mixed integer problem. Only binary columns will be checked. (Inherited from XPRSprob)
	PreDomRow	Presolve: Determines the level of dominated row removal reductions to perform when presolving a problem. (Inherited from XPRSprob)
	PreDupRow	Presolve: Determines the type of duplicate rows to look for and eliminate when presolving a problem. (Inherited from XPRSprob)
	PreElimQuad	Presolve: Allows for elimination of quadratic variables via doubleton rows. (Inherited from XPRSprob)
	PreFolding	Presolve: Determines if a folding procedure should be used to aggregate continuous columns in an equitable partition. (Inherited from XPRSprob)
	PreImplications	Presolve: Determines whether to use implication structures to remove redundant rows. If implication sequences are detected, they might also be used in probing. (Inherited from XPRSprob)
	PreLinDep	Presolve: Determines whether to check for and remove linearly dependent equality constraints when presolving a problem. (Inherited from XPRSprob)
	PreObjCutDetect	Presolve: Determines whether to check for constraints that are parallel or near parallel to a linear objective function, and which can safely be removed. This reduction applies to MIPs only. (Inherited from XPRSprob)
	PrePermute	This bit-vector control (see Section ) specifies whether to randomly permute rows, columns and MIP entities when starting the presolve. With the default value 0, no permutation will take place. (Inherited from XPRSprob)
	PrePermuteSeed	This control sets the seed for the pseudo-random number generator for permuting the problem when starting the presolve. This control only has effects when PREPERMUTE is enabled. (Inherited from XPRSprob)
	PreProbing	Presolve: Amount of probing to perform on binary variables during presolve. This is done by fixing a binary to each of its values in turn and analyzing the implications. (Inherited from XPRSprob)
	PreProtectDual	Presolve: specifies whether the presolver should protect a given dual solution by maintaining the same level of dual feasibility. Enabling this control often results in a worse presolved model. This control only expected to be optionally enabled before calling crossoverLpSol. (Inherited from XPRSprob)
	PreRootEffort	Dial for the work spent during the Pre-root parallel heuristic phase. A positive value sets a suitable work limit that is dependent on problem-characteristics. Changing the value up/or down dials the work spent in this phase up or down. This control also enables/disables Pre-root parallel heuristics. (Inherited from XPRSprob)
	PreRootThreads	Specifies an explicit number of threads that should be used for the Pre-root parallel heuristic phase. By default, this phase will use all threads available to the solver (as governed by the control THREADS). (Inherited from XPRSprob)
	PreRootWorkLimit	Set an explicit work limit in work units for the Pre-root parallel heuristic phase. Any positive value also enables this phase and runs it until the PREROOTWORKLIMIT units of work are hit. (Inherited from XPRSprob)
	Presolve	This control determines whether presolving should be performed prior to starting the main algorithm. Presolve attempts to simplify the problem by detecting and removing redundant constraints, tightening variable bounds, etc. In some cases, infeasibility may even be determined at this stage, or the optimal solution found. (Inherited from XPRSprob)
	PresolveIndex	Presolve: The row or column index on which presolve detected a problem to be infeasible or unbounded. (Inherited from XPRSprob)
	PresolveMaxGrow	Limit on how much the number of non-zero coefficients is allowed to grow during presolve, specified as a ratio of the number of non-zero coefficients in the original problem. (Inherited from XPRSprob)
	PresolveOps	This bit-vector control (see Section ) specifies the operations which are performed during the presolve. (Inherited from XPRSprob)
	PresolvePasses	Number of reduction rounds to be performed in presolve (Inherited from XPRSprob)
	PresolveState	Problem status as a bit-vector (compare Section ). (Inherited from XPRSprob)
	PreSort	This bit-vector control (see Section ) specifies whether to sort rows, columns and MIP entities by their names when starting the presolve. With the default value 0, no sorting will take place. (Inherited from XPRSprob)
	PricingAlg	Simplex: This determines the primal simplex pricing method. It is used to select which variable enters the basis on each iteration. In general Devex pricing requires more time on each iteration, but may reduce the total number of iterations, whereas partial pricing saves time on each iteration, but may result in more iterations. (Inherited from XPRSprob)
	PrimalDualIntegral	Value of the primal-dual integral. (Inherited from XPRSprob)
	PrimalInfeas	Number of primal infeasibilities. (Inherited from XPRSprob)
	PrimalOps	Primal simplex: allows fine tuning the variable selection in the primal simplex solver. (Inherited from XPRSprob)
	PrimalPerturb	The factor by which the problem will be perturbed prior to optimization by primal simplex. A value of 0.0 results in no perturbation prior to optimization. Note the interconnection to the AUTOPERTURB control. If AUTOPERTURB is set to 1, the decision whether to perturb or not is left to the Optimizer. When the problem is automatically perturbed in primal simplex, however, the value of PRIMALPERTURB will be used for perturbation. (Inherited from XPRSprob)
	PrimalUnshift	Determines whether primal is allowed to call dual to unshift. (Inherited from XPRSprob)
	PseudoCost	Branch and Bound: The default pseudo cost used in estimation of the degradation associated with an unexplored node in the tree search. A pseudo cost is associated with each integer decision variable and is an estimate of the amount by which the objective function will be worse if that variable is forced to an integral value. (Inherited from XPRSprob)
	PwlCons	Number of piecewise linear constraints in the problem. (Inherited from XPRSprob)
	PwlDualReductions	This parameter specifies whether dual reductions should be applied to reduce the number of columns, rows and SOS-constraints added when transforming piecewise linear objectives and constraints to MIP structs. (Inherited from XPRSprob)
	PwlNonConvexTransformation	This control specifies the reformulation method for piecewise linear constraints at the beginning of the search. Note that the chosen formulation will only be used if MIP entities are necessary but not if presolve detected that a convex reformulation is possible. Furthermore, the binary formulation will only be applied to piecewise linear constraints with bounded input variable, otherwise the SOS2-formulation will be used. (Inherited from XPRSprob)
	PwlPoints	Number of breakpoints of piecewise linear constraints in the problem. (Inherited from XPRSprob)
	QCCuts	Branch and Bound: Limit on the number of rounds of outer approximation cuts generated for the root node, when solving a mixed integer quadratic constrained or mixed integer second order conic problem with outer approximation. (Inherited from XPRSprob)
	QCElems	Number of quadratic row coefficients in the matrix. (Inherited from XPRSprob)
	QConstraints	Number of rows with quadratic coefficients in the matrix. (Inherited from XPRSprob)
	QCRootAlg	This control determines which algorithm is to be used to solve the root of a mixed integer quadratic constrained or mixed integer second order cone problem, when outer approximation is used. (Inherited from XPRSprob)
	QElems	Number of quadratic non-zeros in the objective. (Inherited from XPRSprob)
	QSimplexOps	Controls the behavior of the quadratic simplex solvers via a bit-vector (see Section ). (Inherited from XPRSprob)
	QuadraticUnshift	Determines whether an extra solution purification step is called after a solution found by the quadratic simplex (either primal or dual). (Inherited from XPRSprob)
	RandomSeed	Sets the initial seed to use for the pseudo-random number generator in the Optimizer. The sequence of random numbers is always reset using the seed when starting a new optimization run. (Inherited from XPRSprob)
	RangeName	Active range name. (Inherited from XPRSprob)
	Refactor	Indicates whether the optimization should restart using the current representation of the factorization in memory. (Inherited from XPRSprob)
	RefineOps	This specifies when the solution refiner should be executed to reduce solution infeasibilities. The refiner will attempt to satisfy the target tolerances for all original linear constraints before presolve or scaling has been applied. (Inherited from XPRSprob)
	RelaxTreeMemoryLimit	When the memory used by the branch and bound search tree exceeds the target specified by the TREEMEMORYLIMIT control, the optimizer will try to reduce this by writing nodes to the tree file. In rare cases, usually where the solve has many millions of very small nodes, the tree structural data (which cannot be written to the tree file) will grow large enough to approach or exceed the tree's memory target. When this happens, optimizer performance can degrade greatly as the solver makes heavy use of the tree file in preference to memory. To prevent this, the solver will automatically relax the tree memory limit when it detects this case; the RELAXTREEMEMORYLIMIT control specifies the proportion of the previous memory limit by which to relax it. Set RELAXTREEMEMORYLIMIT to 0.0 to force the Xpress Optimizer to never relax the tree memory limit in this way. (Inherited from XPRSprob)
	RelPivotTol	Simplex: At each iteration a pivot element is chosen within a given column of the matrix. The relative pivot tolerance, RELPIVOTTOL, is the size of the element chosen relative to the largest possible pivot element in the same column. (Inherited from XPRSprob)
	RepairIndefiniteQ	Controls if the optimizer should make indefinite quadratic matrices positive definite when it is possible. (Inherited from XPRSprob)
	RepairIndefiniteQMax	Control REPAIRINDEFINITEQMAX. (Inherited from XPRSprob)
	RepairInfeasMaxTime	Overall time limit for the repairinfeas tool (Inherited from XPRSprob) Obsolete
	RepairInfeasTimeLimit	Overall time limit for the repairinfeas tool (Inherited from XPRSprob)
	ResourceStrategy	Controls whether the optimizer is allowed to make nondeterministic decisions if memory is running low in an effort to preserve memory and finish the solve. Available memory (or container limits) are automatically detected but can also be changed by MAXMEMORYSOFT and MAXMEMORYHARD (Inherited from XPRSprob)
	Restarts	Total number of restarts performed. (Inherited from XPRSprob)
	RHSName	Active right hand side name. (Inherited from XPRSprob)
	RLTCuts	Determines whether RLT cuts should be separated in the Xpress Global Solver. (Inherited from XPRSprob)
	RootPresolve	Determines if presolving should be performed on the problem after the tree search has finished with root cutting and heuristics. (Inherited from XPRSprob)
	Rows	Number of rows (i.e. constraints) in the matrix. (Inherited from XPRSprob)
	SBBest	Number of infeasible MIP entities to initialize pseudo costs for on each node. (Inherited from XPRSprob)
	SbEffort	Adjusts the overall amount of effort when using strong branching to select an infeasible MIP entity to branch on. (Inherited from XPRSprob)
	SBEstimate	Branch and Bound: How to calculate pseudo costs from the local node when selecting an infeasible MIP entity to branch on. These pseudo costs are used in combination with local strong branching and history costs to select the branch candidate. (Inherited from XPRSprob)
	SBIterLimit	Number of dual iterations to perform the strong branching for each entity. (Inherited from XPRSprob)
	SBSelect	The size of the candidate list of MIP entities for strong branching. (Inherited from XPRSprob)
	Scaling	This bit-vector control (see Section ) determines how the Optimizer will rescale a model internally before optimization. If set to 0, no scaling will take place. (Inherited from XPRSprob)
	SerializePreIntSol	Setting SERIALIZEPREINTSOL to 1 will ensure that the preintsol callback is always fired in a deterministic order during a parallel MIP solve. This applies only when the control DETERMINISTIC is set to 1. (Inherited from XPRSprob)
	SetMembers	Number of variables within special ordered sets (set members) in the matrix. (Inherited from XPRSprob)
	Sets	Number of special ordered sets in the matrix. (Inherited from XPRSprob)
	Sifting	Determines whether to enable sifting algorithm with the dual simplex method. (Inherited from XPRSprob)
	SiftPasses	Determines how quickly we allow to grow the worker problems during the sifting algorithm. Using larger values can increase the number of columns added to the worker problem which often results in increased solve times for the worker problems but the number of necessary sifting iterations may be reduced. (Inherited from XPRSprob)
	SiftPresolveOps	Determines the presolve operations for solving the subproblems during the sifting algorithm. (Inherited from XPRSprob)
	SiftSwitch	Determines which algorithm to use for solving the subproblems during sifting. (Inherited from XPRSprob)
	SimplexIter	Number of simplex iterations performed. (Inherited from XPRSprob)
	SleepOnThreadWait	In previous versions this was used to determine if the threads should be put into a wait state when waiting for work. (Inherited from XPRSprob) Obsolete
	SlpAlgorithm	Bit map describing the SLP algorithm(s) to be used (Inherited from XPRSprob)
	SlpAnalyze	Bit map activating additional options supporting model / solution path analysis (Inherited from XPRSprob)
	SlpATol_A	Absolute delta convergence tolerance (Inherited from XPRSprob)
	SlpATol_R	Relative delta convergence tolerance (Inherited from XPRSprob)
	SlpAugmentation	Bit map describing the SLP augmentation method(s) to be used (Inherited from XPRSprob)
	SlpAutoSave	Frequency with which to save the model (Inherited from XPRSprob)
	SlpBarCrossoverStart	Default crossover activation behaviour for barrier start (Inherited from XPRSprob)
	SlpBarLimit	Number of initial SLP iterations using the barrier method (Inherited from XPRSprob)
	SlpBarStallingLimit	Number of iterations to allow numerical failures in barrier before switching to dual (Inherited from XPRSprob)
	SlpBarStallingObjLimit	Number of iterations over which to measure the objective change for barrier iterations with no crossover (Inherited from XPRSprob)
	SlpBarStallingTol	Required change in the objective when progress is measured in barrier iterations without crossover (Inherited from XPRSprob)
	SlpBarStartOps	Controls behaviour when the barrier is used to solve the linearizations (Inherited from XPRSprob)
	SlpBoundThreshold	The maximum size of a bound that can be introduced by nonlinear presolve. (Inherited from XPRSprob)
	SlpCascade	Bit map describing the cascading to be used (Inherited from XPRSprob)
	SlpCascadeNLimit	Maximum number of iterations for cascading with non-linear determining rows (Inherited from XPRSprob)
	SlpCascadeTol_PA	Absolute cascading print tolerance (Inherited from XPRSprob)
	SlpCascadeTol_PR	Relative cascading print tolerance (Inherited from XPRSprob)
	SlpCDTol_A	Absolute tolerance for deducing constant derivatives (Inherited from XPRSprob)
	SlpCDTol_R	Relative tolerance for deducing constant derivatives (Inherited from XPRSprob)
	SlpClampShrink	Shrink ratio used to impose strict convergence on variables converged in extended criteria only (Inherited from XPRSprob)
	SlpClampValidationTol_A	Absolute validation tolerance for applying XSLP_CLAMPSHRINK (Inherited from XPRSprob)
	SlpClampValidationTol_R	Relative validation tolerance for applying XSLP_CLAMPSHRINK (Inherited from XPRSprob)
	SlpCoefficients	Number of nonlinear coefficients (Inherited from XPRSprob)
	SlpConvergenceOps	Bit map describing which convergence tests should be carried out (Inherited from XPRSprob)
	SlpCTol	Closure convergence tolerance (Inherited from XPRSprob)
	SlpCurrentDeltaCost	Current value of penalty cost multiplier for penalty delta vectors (Inherited from XPRSprob)
	SlpCurrentErrorCost	Current value of penalty cost multiplier for penalty error vectors (Inherited from XPRSprob)
	SlpCutStrategy	Determines whihc cuts to apply in the MISLP search when the default SLP-in-MIP strategy is used. (Inherited from XPRSprob)
	SlpDamp	Damping factor for updating values of variables (Inherited from XPRSprob)
	SlpDampExpand	Multiplier to increase damping factor during dynamic damping (Inherited from XPRSprob)
	SlpDampMax	Maximum value for the damping factor of a variable during dynamic damping (Inherited from XPRSprob)
	SlpDampMin	Minimum value for the damping factor of a variable during dynamic damping (Inherited from XPRSprob)
	SlpDampShrink	Multiplier to decrease damping factor during dynamic damping (Inherited from XPRSprob)
	SlpDampStart	SLP iteration at which damping is activated (Inherited from XPRSprob)
	SlpDefaultStepBound	Minimum initial value for the step bound of an SLP variable if none is explicitly given (Inherited from XPRSprob)
	SlpDelayUpdateRows	Number of SLP iterations before update rows are fully activated (Inherited from XPRSprob)
	SlpDelta_A	Absolute perturbation of values for calculating numerical derivatives (Inherited from XPRSprob)
	SlpDelta_Infinity	Maximum value for partial derivatives (Inherited from XPRSprob)
	SlpDelta_R	Relative perturbation of values for calculating numerical derivatives (Inherited from XPRSprob)
	SlpDelta_X	Minimum absolute value of delta coefficients to be retained (Inherited from XPRSprob)
	SlpDelta_Z	Tolerance used when calculating derivatives (Inherited from XPRSprob)
	SlpDelta_Zero	Absolute zero acceptance tolerance used when calculating derivatives (Inherited from XPRSprob)
	SlpDeltaCost	Initial penalty cost multiplier for penalty delta vectors (Inherited from XPRSprob)
	SlpDeltaCostFactor	Factor for increasing cost multiplier on total penalty delta vectors (Inherited from XPRSprob)
	SlpDeltaMaxCost	Maximum penalty cost multiplier for penalty delta vectors (Inherited from XPRSprob)
	SlpDeltaOffset	Position of first character of SLP variable name used to create name of delta vector (Inherited from XPRSprob)
	SlpDeltas	Number of delta vectors created during augmentation (Inherited from XPRSprob)
	SlpDeltaZLimit	Number of SLP iterations during which to apply XSLP_DELTA_Z (Inherited from XPRSprob)
	SlpDJTol	Tolerance on DJ value for determining if a variable is at its step bound (Inherited from XPRSprob)
	SlpDRColDjTol	Reduced cost tolerance on the delta variable when fixing due to the determining column being below XSLP_DRCOLTOL. (Inherited from XPRSprob)
	SlpDRColTol	The minimum absolute magnitude of a determining column, for which the determined variable is still regarded as well defined (Inherited from XPRSprob)
	SlpDRFixRange	The range around the previous value where variables are fixed in cascading if the determining column is below XSLP_DRCOLTOL. (Inherited from XPRSprob)
	SlpECFCheck	Check feasibility at the point of linearization for extended convergence criteria (Inherited from XPRSprob)
	SlpECFCount	Number of infeasible constraints found at the point of linearization (Inherited from XPRSprob)
	SlpEcfTol_A	Absolute tolerance on testing feasibility at the point of linearization (Inherited from XPRSprob)
	SlpEcfTol_R	Relative tolerance on testing feasibility at the point of linearization (Inherited from XPRSprob)
	SlpEnforceCostShrink	Factor by which to decrease the current penalty multiplier when enforcing rows. (Inherited from XPRSprob)
	SlpEnforceMaxCost	Maximum penalty cost in the objective before enforcing most violating rows (Inherited from XPRSprob)
	SlpErrorCost	Initial penalty cost multiplier for penalty error vectors (Inherited from XPRSprob)
	SlpErrorCostFactor	Factor for increasing cost multiplier on total penalty error vectors (Inherited from XPRSprob)
	SlpErrorCosts	Total penalty costs in the solution (Inherited from XPRSprob)
	SlpErrorMaxCost	Maximum penalty cost multiplier for penalty error vectors (Inherited from XPRSprob)
	SlpErrorOffset	Position of first character of constraint name used to create name of penalty error vectors (Inherited from XPRSprob)
	SlpErrorTol_A	Absolute tolerance for error vectors (Inherited from XPRSprob)
	SlpErrorTol_P	Absolute tolerance for printing error vectors (Inherited from XPRSprob)
	SlpEscalation	Factor for increasing cost multiplier on individual penalty error vectors (Inherited from XPRSprob)
	SlpETol_A	Absolute tolerance on penalty vectors (Inherited from XPRSprob)
	SlpETol_R	Relative tolerance on penalty vectors (Inherited from XPRSprob)
	SlpEVTol_A	Absolute tolerance on total penalty costs (Inherited from XPRSprob)
	SlpEVTol_R	Relative tolerance on total penalty costs (Inherited from XPRSprob)
	SlpExpand	Multiplier to increase a step bound (Inherited from XPRSprob)
	SlpFeastolTarget	When set, this defines a target feasibility tolerance to which the linearizations are solved to (Inherited from XPRSprob)
	SlpFilter	Bit map for controlling solution updates (Inherited from XPRSprob)
	SlpGranularity	Base for calculating penalty costs (Inherited from XPRSprob)
	SlpGridHeurSelect	Bit map selectin which heuristics to run if the problem has variable with an integer delta (Inherited from XPRSprob)
	SlpHeurStrategy	Branch and Bound: This specifies the MINLP heuristic strategy. On some problems it is worth trying more comprehensive heuristic strategies by setting HEURSTRATEGY to 2 or 3. (Inherited from XPRSprob)
	SlpInfeasLimit	The maximum number of consecutive infeasible SLP iterations which can occur before Xpress-SLP terminates (Inherited from XPRSprob)
	SlpIter	SLP iteration count (Inherited from XPRSprob)
	SlpIterLimit	The maximum number of SLP iterations (Inherited from XPRSprob)
	SlpItol_A	Absolute impact convergence tolerance (Inherited from XPRSprob)
	SlpITol_R	Relative impact convergence tolerance (Inherited from XPRSprob)
	SlpLSIterLimit	Number of iterations in the line search (Inherited from XPRSprob)
	SlpLSPatternLimit	Number of iterations in the pattern search preceding the line search (Inherited from XPRSprob)
	SlpLSStart	Iteration in which to active the line search (Inherited from XPRSprob)
	SlpLSZeroLimit	Maximum number of zero length line search steps before line search is deactivated (Inherited from XPRSprob)
	SlpMatrixTol	Nonzero tolerance for dropping coefficients from the linearization. (Inherited from XPRSprob)
	SlpMaxWeight	Maximum penalty weight for delta or error vectors (Inherited from XPRSprob)
	SlpMinSBFactor	Factor by which step bounds can be decreased beneath XSLP_ATOL_A (Inherited from XPRSprob)
	SlpMinusPenaltyErrors	Number of negative penalty error vectors (Inherited from XPRSprob)
	SlpMinWeight	Minimum penalty weight for delta or error vectors (Inherited from XPRSprob)
	SlpMipAlgorithm	Bitmap describing the MISLP algorithms to be used (Inherited from XPRSprob)
	SlpMipCutoff_A	Absolute objective function cutoff for MIP termination (Inherited from XPRSprob)
	SlpMipCutoff_R	Absolute objective function cutoff for MIP termination (Inherited from XPRSprob)
	SlpMipCutOffCount	Number of SLP iterations to check when considering a node for cutting off (Inherited from XPRSprob)
	SlpMipCutoffLimit	Number of SLP iterations to check when considering a node for cutting off (Inherited from XPRSprob)
	SlpMipDefaultAlgorithm	Default algorithm to be used during the tree search in MISLP (Inherited from XPRSprob)
	SlpMipErrorTol_A	Absolute penalty error cost tolerance for MIP cut-off (Inherited from XPRSprob)
	SlpMipErrorTol_R	Relative penalty error cost tolerance for MIP cut-off (Inherited from XPRSprob)
	SlpMipFixStepBounds	Bitmap describing the step-bound fixing strategy during MISLP (Inherited from XPRSprob)
	SlpMipIter	Total number of SLP iterations in MISLP (Inherited from XPRSprob)
	SlpMipIterLimit	Maximum number of SLP iterations at each node (Inherited from XPRSprob)
	SlpMipLog	Frequency with which MIP status is printed (Inherited from XPRSprob)
	SlpMipNodes	Number of nodes explored in MISLP. This includes any nodes for which a non-linear solve has been carried out. (Inherited from XPRSprob)
	SlpMipOCount	Number of SLP iterations at each node over which to measure objective function variation (Inherited from XPRSprob)
	SlpMipOtol_A	Absolute objective function tolerance for MIP termination (Inherited from XPRSprob)
	SlpMipOtol_R	Relative objective function tolerance for MIP termination (Inherited from XPRSprob)
	SlpMipRelaxStepBounds	Bitmap describing the step-bound relaxation strategy during MISLP (Inherited from XPRSprob)
	SlpMipSols	Number of integer solutions found in MISLP. This includes solutions found during the tree search or any heuristics. (Inherited from XPRSprob)
	SlpMTol_A	Absolute effective matrix element convergence tolerance (Inherited from XPRSprob)
	SlpMTol_R	Relative effective matrix element convergence tolerance (Inherited from XPRSprob)
	SlpMVTol	Marginal value tolerance for determining if a constraint is slack (Inherited from XPRSprob)
	SlpNonConstantCoeffs	Number of coefficients in the augmented problem that might change between SLP iterations (Inherited from XPRSprob)
	SlpObjThreshold	Assumed maximum value of the objective function in absolute value. (Inherited from XPRSprob)
	SlpObjToPenaltyCost	Factor to estimate initial penalty costs from objective function (Inherited from XPRSprob)
	SlpOCount	Number of SLP iterations over which to measure objective function variation for static objective (2) convergence criterion (Inherited from XPRSprob)
	SlpOptimalityTolTarget	When set, this defines a target optimality tolerance to which the linearizations are solved to (Inherited from XPRSprob)
	SlpOTol_A	Absolute static objective (2) convergence tolerance (Inherited from XPRSprob)
	SlpOTol_R	Relative static objective (2) convergence tolerance (Inherited from XPRSprob)
	SlpPenaltyDeltaColumn	Index of column costing the penalty delta row (Inherited from XPRSprob)
	SlpPenaltyDeltaRow	Index of equality row holding the penalties for delta vectors (Inherited from XPRSprob)
	SlpPenaltyDeltas	Number of penalty delta vectors (Inherited from XPRSprob)
	SlpPenaltyDeltaTotal	Total activity of penalty delta vectors (Inherited from XPRSprob)
	SlpPenaltyDeltaValue	Total penalty cost attributed to penalty delta vectors (Inherited from XPRSprob)
	SlpPenaltyErrorColumn	Index of column costing the penalty error row (Inherited from XPRSprob)
	SlpPenaltyErrorRow	Index of equality row holding the penalties for penalty error vectors (Inherited from XPRSprob)
	SlpPenaltyErrors	Number of penalty error vectors (Inherited from XPRSprob)
	SlpPenaltyErrorTotal	Total activity of penalty error vectors (Inherited from XPRSprob)
	SlpPenaltyErrorValue	Total penalty cost attributed to penalty error vectors (Inherited from XPRSprob)
	SlpPenaltyInfoStart	Iteration from which to record row penalty information (Inherited from XPRSprob)
	SlpPlusPenaltyErrors	Number of positive penalty error vectors (Inherited from XPRSprob)
	SlpSameCount	Number of steps reaching the step bound in the same direction before step bounds are increased (Inherited from XPRSprob)
	SlpSameDamp	Number of steps in same direction before damping factor is increased (Inherited from XPRSprob)
	SlpSBRowOffset	Position of first character of SLP variable name used to create name of SLP lower and upper step bound rows (Inherited from XPRSprob)
	SlpSBStart	SLP iteration after which step bounds are first applied (Inherited from XPRSprob)
	SlpSbxConverged	Number of step-bounded variables converged only on extended criteria (Inherited from XPRSprob)
	SlpShrink	Multiplier to reduce a step bound (Inherited from XPRSprob)
	SlpShrinkBias	Defines an overwrite / adjustment of step bounds for improving iterations (Inherited from XPRSprob)
	SlpStatus	Bitmap holding the problem convergence status (Inherited from XPRSprob)
	SlpSTol_A	Absolute slack convergence tolerance (Inherited from XPRSprob)
	SlpSTol_R	Relative slack convergence tolerance (Inherited from XPRSprob)
	SlpTolSets	Number of tolerance sets. (Inherited from XPRSprob)
	SlpTraceMaskOps	Controls the information printed for XSLP_TRACEMASK. The order in which the information is printed is determined by the order of bits in XSLP_TRACEMASKOPS. (Inherited from XPRSprob)
	SlpUCConstrainedCount	Number of unconverged variables with coefficients in constraining rows (Inherited from XPRSprob)
	SlpUnConverged	Number of unconverged values (Inherited from XPRSprob)
	SlpUnFinishedLimit	The number of consecutive SLP iterations that may have an unfinished status before the solve is terminated. (Inherited from XPRSprob)
	SlpUpdateOffset	Position of first character of SLP variable name used to create name of SLP update row (Inherited from XPRSprob)
	SlpVCount	Number of SLP iterations over which to measure static objective (3) convergence (Inherited from XPRSprob)
	SlpVLimit	Number of SLP iterations after which static objective (3) convergence testing starts (Inherited from XPRSprob)
	SlpVTol_A	Absolute static objective (3) convergence tolerance (Inherited from XPRSprob)
	SlpVTol_R	Relative static objective (3) convergence tolerance (Inherited from XPRSprob)
	SlpWCount	Number of SLP iterations over which to measure the objective for the extended convergence continuation criterion (Inherited from XPRSprob)
	SlpWTol_A	Absolute extended convergence continuation tolerance (Inherited from XPRSprob)
	SlpWTol_R	Relative extended convergence continuation tolerance (Inherited from XPRSprob)
	SlpXCount	Number of SLP iterations over which to measure static objective (1) convergence (Inherited from XPRSprob)
	SlpXLimit	Number of SLP iterations up to which static objective (1) convergence testing is performed (Inherited from XPRSprob)
	SlpXTol_A	Absolute static objective function (1) tolerance (Inherited from XPRSprob)
	SlpXTol_R	Relative static objective function (1) tolerance (Inherited from XPRSprob)
	SlpZeroCriterion	Bitmap determining the behavior of the placeholder deletion procedure (Inherited from XPRSprob)
	SlpZeroCriterionCount	Number of consecutive times a placeholder entry is zero before being considered for deletion (Inherited from XPRSprob)
	SlpZeroCriterionStart	SLP iteration at which criteria for deletion of placeholder entries are first activated. (Inherited from XPRSprob)
	SlpZeroesReset	Number of placeholder entries set to zero (Inherited from XPRSprob)
	SlpZeroesRetained	Number of potentially zero placeholders left untouched (Inherited from XPRSprob)
	SlpZeroesTotal	Number of potential zero placeholder entries (Inherited from XPRSprob)
	SolStatus	Status of the solution of the last problem solved with optimize. (Inherited from XPRSprob)
	SolTimeLimit	The maximum time in seconds that the Optimizer will run a MIP solve before it terminates, given that a solution has been found. As long as no solution has been found, this control will have no effect. (Inherited from XPRSprob)
	SolvedObjs	Number of objectives that have been solved so far during a multi-objective solve. (Inherited from XPRSprob)
	SolveStatus	Status of the solve of the last problem solved with optimize. (Inherited from XPRSprob)
	SOSRefTol	The minimum relative gap between the ordering values of elements in a special ordered set. The gap divided by the absolute value of the larger of the two adjacent values must be at least SOSREFTOL. (Inherited from XPRSprob)
	SpareCols	Number of spare columns in the matrix. (Inherited from XPRSprob)
	SpareElems	Number of spare matrix elements in the matrix. (Inherited from XPRSprob)
	SpareMIPEnts	Number of spare MIP entities in the matrix. (Inherited from XPRSprob)
	SpareRows	Number of spare rows in the matrix. (Inherited from XPRSprob)
	SpareSetElems	Number of spare set elements in the matrix. (Inherited from XPRSprob)
	SpareSets	Number of spare sets in the matrix. (Inherited from XPRSprob)
	StopStatus	Status of the optimization process. (Inherited from XPRSprob)
	SumPrimalInf	Scaled sum of primal infeasibilities. (Inherited from XPRSprob)
	Symmetry	Adjusts the overall amount of effort for symmetry detection. (Inherited from XPRSprob)
	SymSelect	Adjusts the overall amount of effort for symmetry detection. (Inherited from XPRSprob)
	SystemMemory	The amount of non problem specific memory used by the solver. (Inherited from XPRSprob)
	Threads	The default number of threads used during optimization. (Inherited from XPRSprob)
	Time	Time spent solving the problem as measured by the optimizer. (Inherited from XPRSprob)
	TimeLimit	The maximum time in seconds that the Optimizer will run before it terminates, including the problem setup time and solution time. For MIP problems, this is the total time taken to solve all nodes. (Inherited from XPRSprob)
	TotalMemory	The amount of dynamically allocated heap memory by the optimizer, including all problems currently exsisting. (Inherited from XPRSprob)
	Trace	Display the infeasibility diagnosis during presolve. If non-zero, an explanation of the logical deductions made by presolve to deduce infeasibility or unboundedness will be displayed on screen or sent to the message callback function. (Inherited from XPRSprob)
	TreeCompletion	Estimation of the relative completion of the search tree as fraction between 0 and 1. Its accuracy mainly depends on the level of degeneracy of a problem and the balancedness of the search tree. (Inherited from XPRSprob)
	TreeCompression	When writing nodes to the gloal file, the optimizer can try to use data-compression techniques to reduce the size of the tree file on disk. The TREECOMPRESSION control determines the strength of the data-compression algorithm used; higher values give superior data-compression at the affect of decreasing performance, while lower values compress quicker but not as effectively. Where TREECOMPRESSION is set to 0, no data compression will be used on the tree file. (Inherited from XPRSprob)
	TreeCoverCuts	Branch and Bound: The number of rounds of lifted cover inequalities generated at nodes other than the root node in the tree. Compare with the description for COVERCUTS. A value of -1 indicates the number of rounds is determined automatically. (Inherited from XPRSprob)
	TreeCutSelect	A bit-vector (see Section ) providing detailed control of the cuts created during the tree search of a MIP solve. Use CUTSELECT to control cuts on the root node. (Inherited from XPRSprob)
	TreeDiagnostics	A bit-vector (see Section ) providing control over how various tree-management-related messages get printed in the tree log file during the branch-and-bound search. (Inherited from XPRSprob)
	TreeFileLogInterval	This control sets the interval between progress messages output while writing tree data to the tree file, in seconds. The solve is slowed greatly while data is being written to the tree file and this output allows the user to see how much progress is being made. (Inherited from XPRSprob)
	TreeFileSize	The allocated size of the tree file, in megabytes. Because data can be removed from the tree file during the branch and bound search, the size of the tree file is usually greater than the amount of data currently within it (represented by the TREEFILEUSAGE attribute). (Inherited from XPRSprob)
	TreeFileUsage	The number of megabytes of data from the branch-and-bound tree that have been saved to the tree file. Note that the actual allocated size of the tree file (represented by the TREEFILESIZE attribute) may be greater than this value. (Inherited from XPRSprob)
	TreeGomCuts	Branch and Bound: The number of rounds of Gomory cuts generated at nodes other than the first node in the tree. Compare with the description for GOMCUTS. A value of -1 indicates the number of rounds is determined automatically. (Inherited from XPRSprob)
	TreeMemoryLimit	A soft limit, in megabytes, for the amount of memory to use in storing the branch and bound search tree. This doesn't include memory used for presolve, heuristics, solving the LP relaxation, etc. When set to 0 (the default), the optimizer will calculate a limit automatically based on the amount of free physical memory detected in the machine. When the memory used by the branch and bound tree exceeds this limit, the optimizer will try to reduce the memory usage by writing lower-rated sections of the tree to a file called the "tree file". Though the solve can continue if it cannot bring the tree memory usage below the specified limit, performance will be inhibited and a message will be printed to the log. (Inherited from XPRSprob)
	TreeMemorySavingTarget	When the memory used by the branch-and-bound search tree exceeds the limit specified by the TREEMEMORYLIMIT control, the optimizer will try to save memory by writing lower-rated sections of the tree to the tree file. The target amount of memory to save will be enough to bring memory usage back below the limit, plus enough extra to give the tree room to grow. The TREEMEMORYSAVINGTARGET control specifies the extra proportion of the tree's size to try to save; for example, if the tree memory limit is 1000Mb and TREEMEMORYSAVINGTARGET is 0.1, when the tree size exceeds 1000Mb the optimizer will try to reduce the tree size to 900Mb. Reducing the value of TREEMEMORYSAVINGTARGET will cause less extra nodes of the tree to be written to the tree file, but will result in the memory saving routine being triggered more often (as the tree will have less room in which to grow), which can reduce performance. Increasing the value of TREEMEMORYSAVINGTARGET will cause additional, more highly-rated nodes, of the tree to be written to the tree file, which can cause performance issues if these nodes are required later in the solve. (Inherited from XPRSprob)
	TreeMemoryUsage	The amount of physical memory, in megabytes, currently being used to store the branch-and-bound search tree. (Inherited from XPRSprob)
	TreeQCCuts	Branch and Bound: Limit on the number of rounds of outer approximation cuts generated for nodes other than the root node, when solving a mixed integer quadratic constrained or mixed integer second order conic problem with outer approximation. (Inherited from XPRSprob)
	TreeRestarts	Number of in-tree restarts performed. (Inherited from XPRSprob)
	TunerHistory	Tuner: Whether to reuse and append to previous tuner results of the same problem. (Inherited from XPRSprob)
	TunerMaxTime	Tuner: The maximum time in seconds that the tuner will run before it terminates. (Inherited from XPRSprob)
	TunerMethod	Tuner: Selects a factory tuner method. A tuner method consists of a list of controls with different settings that the tuner will evaluate and try to combine. (Inherited from XPRSprob)
	TunerMethodFile	Tuner: Defines a file from which the tuner can read user-defined tuner method. (Inherited from XPRSprob)
	TunerMode	Tuner: Whether to always enable the tuner or disable it. (Inherited from XPRSprob)
	TunerOutput	Tuner: Whether to output tuner results and logs to the file system. (Inherited from XPRSprob)
	TunerOutputPath	Tuner: Defines a root path to which the tuner writes the result file and logs. (Inherited from XPRSprob)
	TunerPermute	Tuner: Defines the number of permutations to solve for each control setting. (Inherited from XPRSprob)
	TunerSessionName	Tuner: Defines a session name for the tuner. (Inherited from XPRSprob)
	TunerTarget	Tuner: Defines the tuner target -- what should be evaluated when comparing two runs with different control settings. (Inherited from XPRSprob)
	TunerThreads	Tuner: the number of threads used by the tuner. (Inherited from XPRSprob)
	TunerVerbose	Tuner: whether the tuner should prints detailed information for each run. (Inherited from XPRSprob)
	UserSolHeuristic	Determines how much effort to put into running a local search heuristic to find a feasible integer solution from a partial or infeasible user solution. (Inherited from XPRSprob)
	UUID	Universally Unique Identifier for the problem instance. (Inherited from XPRSprob)
	VarSelection	Branch and Bound: This determines the formula used to calculate the estimate of each integer variable, and thus which integer variable is selected to be branched on at a given node. The variable selected to be branched on is the one with the maximum estimate. (Inherited from XPRSprob)
	Version	The Optimizer version number, e.g. 1301 meaning release 13.01. (Inherited from XPRSprob)
	Work	Amount of deterministic algorithmic "work" spent since the invocation of the search process. Work is measured in work units. In contrast with TIME, WORK is deterministic. It is also independent of the platform and hardware used. At the end of a search, the optimizer reports both the accumulated total work as well as the speed at which WORK has been accumulated (measured in work units per second) in the log file. The accumulation of work depends on the size of the model being solved, the involved algorithms, and the stage of the search. (Inherited from XPRSprob)
	WorkLimit	The maximum work (measured in work units) that the Optimizer will run before it terminates. WORK is accumulated during the search and ever increasing. In contrast to TIME, WORK is independent of the hardware and platform on which the search is conducted. The WORKLIMIT serves as a deterministic stopping criterion. When it is reached, it leaves the optimizer in a reproducible state. (Inherited from XPRSprob)
	XpressVersion	The Xpress version number. (Inherited from XPRSprob)

Top

Methods

	Name	Description
	AddAfterObjectiveCallback(AfterObjectiveCallback)	Add AfterObjective callback. (Inherited from XPRSprob)
	AddAfterObjectiveCallback(AfterObjectiveCallback, Int32)	Add AfterObjective callback with the specified priority. (Inherited from XPRSprob)
	AddAfterObjectiveCallback(AfterObjectiveCallback, Object)	Add AfterObjective callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddAfterObjectiveCallback(AfterObjectiveCallback, Object, Int32)	Add AfterObjective callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBarIterationCallback(BarIterationCallback)	Add BarIteration callback. (Inherited from XPRSprob)
	AddBarIterationCallback(BarIterationCallback, Int32)	Add BarIteration callback with the specified priority. (Inherited from XPRSprob)
	AddBarIterationCallback(BarIterationCallback, Object)	Add BarIteration callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBarIterationCallback(BarIterationCallback, Object, Int32)	Add BarIteration callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBarlogCallback(BarlogCallback)	Add Barlog callback. (Inherited from XPRSprob)
	AddBarlogCallback(BarlogCallback, Int32)	Add Barlog callback with the specified priority. (Inherited from XPRSprob)
	AddBarlogCallback(BarlogCallback, Object)	Add Barlog callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBarlogCallback(BarlogCallback, Object, Int32)	Add Barlog callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBeforeObjectiveCallback(BeforeObjectiveCallback)	Add BeforeObjective callback. (Inherited from XPRSprob)
	AddBeforeObjectiveCallback(BeforeObjectiveCallback, Int32)	Add BeforeObjective callback with the specified priority. (Inherited from XPRSprob)
	AddBeforeObjectiveCallback(BeforeObjectiveCallback, Object)	Add BeforeObjective callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBeforeObjectiveCallback(BeforeObjectiveCallback, Object, Int32)	Add BeforeObjective callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBeforeSolveCallback(BeforeSolveCallback)	Add BeforeSolve callback. (Inherited from XPRSprob)
	AddBeforeSolveCallback(BeforeSolveCallback, Int32)	Add BeforeSolve callback with the specified priority. (Inherited from XPRSprob)
	AddBeforeSolveCallback(BeforeSolveCallback, Object)	Add BeforeSolve callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddBeforeSolveCallback(BeforeSolveCallback, Object, Int32)	Add BeforeSolve callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddChangeBranchObjectCallback(ChangeBranchObjectCallback)	Add ChangeBranchObject callback. (Inherited from XPRSprob)
	AddChangeBranchObjectCallback(ChangeBranchObjectCallback, Int32)	Add ChangeBranchObject callback with the specified priority. (Inherited from XPRSprob)
	AddChangeBranchObjectCallback(ChangeBranchObjectCallback, Object)	Add ChangeBranchObject callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddChangeBranchObjectCallback(ChangeBranchObjectCallback, Object, Int32)	Add ChangeBranchObject callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddCheckTimeCallback(CheckTimeCallback)	Add CheckTime callback. (Inherited from XPRSprob)
	AddCheckTimeCallback(CheckTimeCallback, Int32)	Add CheckTime callback with the specified priority. (Inherited from XPRSprob)
	AddCheckTimeCallback(CheckTimeCallback, Object)	Add CheckTime callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddCheckTimeCallback(CheckTimeCallback, Object, Int32)	Add CheckTime callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddChgbranchCallback(ChgbranchCallback)	Add Chgbranch callback. (Inherited from XPRSprob) Obsolete
	AddChgbranchCallback(ChgbranchCallback, Int32)	Add Chgbranch callback with the specified priority. (Inherited from XPRSprob) Obsolete
	AddChgbranchCallback(ChgbranchCallback, Object)	Add Chgbranch callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob) Obsolete
	AddChgbranchCallback(ChgbranchCallback, Object, Int32)	Add Chgbranch callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob) Obsolete
	AddChgnodeCallback(ChgnodeCallback)	Add Chgnode callback. (Inherited from XPRSprob) Obsolete
	AddChgnodeCallback(ChgnodeCallback, Int32)	Add Chgnode callback with the specified priority. (Inherited from XPRSprob) Obsolete
	AddChgnodeCallback(ChgnodeCallback, Object)	Add Chgnode callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob) Obsolete
	AddChgnodeCallback(ChgnodeCallback, Object, Int32)	Add Chgnode callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob) Obsolete
	AddCol(Double, Double, Double)	Add a single column to this problem. This is a shortcut for AddCol(obj, lb, ub, 'C', null, null, null);. (Inherited from XPRSprob) Obsolete
	AddCol(Double, Double, Double, Char)	Add a single column to this problem. This is a shortcut for AddCol(obj, lb, ub, type, null, null, null);. (Inherited from XPRSprob) Obsolete
	AddCol(Double, Double, Double, String)	Add a single column to this problem. This is a shortcut for AddCol(obj, lb, ub, 'C', null, null, name);. (Inherited from XPRSprob) Obsolete
	AddCol(Double, Double, Double, Char, String)	Add a single column to this problem. This is a shortcut for AddCol(obj, lb, ub, type, null, null, name);. (Inherited from XPRSprob) Obsolete
	AddCol(Double, Double, Double, Char, Int32, Double)	Add a single column to this problem. This is a shortcut for AddCol(obj, lb, ub, type, rowind, rowval, null);. (Inherited from XPRSprob) Obsolete
	AddCol(Double, Double, Double, Char, Int32, Double, String)	Add a single column to the model. (Inherited from XPRSprob) Obsolete
	AddCols(Int32, Int32, Double, Int32, Int32, Double, Double, Double)	Adds columns to the optimizer matrix. (Inherited from XPRSprob)
	AddCols(Int32, Int64, Double, Int64, Int32, Double, Double, Double)	Adds columns to the optimizer matrix. (Inherited from XPRSprob)
	AddColumn	Add a single column to this problem. (Inherited from XPRSprob)
	AddColumns(Int32)	Create an 1-dimensional array of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary columns int[ ] x = prob.AddColumns(dim) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderColumnArrayBuilder for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumns(Int32, Int32)	Create an 2-dimensional array of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary columns int[ ,] x = prob.AddColumns(dim1 ,dim2) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderColumnArray2Builder for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumns(Int32, Int32, Int32)	Create an 3-dimensional array of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary columns int[ , ,] x = prob.AddColumns(dim1 ,dim2 ,dim3) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderColumnArray3Builder for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumns(Int32, Int32, Int32, Int32)	Create an 4-dimensional array of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary columns int[ , , ,] x = prob.AddColumns(dim1 ,dim2 ,dim3 ,dim4) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderColumnArray4Builder for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumns(Int32, Int32, Int32, Int32, Int32)	Create an 5-dimensional array of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary columns int[ , , , ,] x = prob.AddColumns(dim1 ,dim2 ,dim3 ,dim4 ,dim5) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderColumnArray5Builder for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1(K1)	Create an 1-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns System.Collections.Generic.Dictionary<K1 ,int> x = prob.AddColumns(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMapBuilder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1(IEnumerableK1)	Create an 1-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns System.Collections.Generic.Dictionary<K1 ,int> x = prob.AddColumns(iterable1 ) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMapBuilder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2(K1, K2)	Create an 2-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap2<K1 ,K2,int> x = prob.AddColumns(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap2Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2(IEnumerableK1, IEnumerableK2)	Create an 2-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap2<K1 ,K2,int> x = prob.AddColumns(iterable1 ,iterable2) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap2Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2, K3(K1, K2, K3)	Create an 3-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap3<K1 ,K2 ,K3,int> x = prob.AddColumns(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap3Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2, K3(IEnumerableK1, IEnumerableK2, IEnumerableK3)	Create an 3-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap3<K1 ,K2 ,K3,int> x = prob.AddColumns(iterable1 ,iterable2 ,iterable3) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap3Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2, K3, K4(K1, K2, K3, K4)	Create an 4-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap4<K1 ,K2 ,K3 ,K4,int> x = prob.AddColumns(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap4Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2, K3, K4(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4)	Create an 4-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap4<K1 ,K2 ,K3 ,K4,int> x = prob.AddColumns(iterable1 ,iterable2 ,iterable3 ,iterable4) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap4Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2, K3, K4, K5(K1, K2, K3, K4, K5)	Create an 5-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap5<K1 ,K2 ,K3 ,K4 ,K5,int> x = prob.AddColumns(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap5Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddColumnsK1, K2, K3, K4, K5(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4, IEnumerableK5)	Create an 5-dimensional map of columns. This function returns a builder that generates columns according to a specification. The specification can be modified. In order to actually create the columns and get their indices, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap5<K1 ,K2 ,K3 ,K4 ,K5,int> x = prob.AddColumns(iterable1 ,iterable2 ,iterable3 ,iterable4 ,iterable5) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.ColumnMap5Builder] for details of how to modify the specification in the builder. (Inherited from XPRSprob)
	AddComputeRestartCallback(ComputeRestartCallback)	Add ComputeRestart callback. (Inherited from XPRSprob)
	AddComputeRestartCallback(ComputeRestartCallback, Int32)	Add ComputeRestart callback with the specified priority. (Inherited from XPRSprob)
	AddComputeRestartCallback(ComputeRestartCallback, Object)	Add ComputeRestart callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddComputeRestartCallback(ComputeRestartCallback, Object, Int32)	Add ComputeRestart callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddConstraintC	Add a single constraint to this problem.
	AddConstraintsC(IEnumerableConstraintDefinitionC)	Add multiple constraints of the same type to the problem.
	AddConstraintsC(Int32, FuncInt32, ConstraintDefinitionC)	Add multiple constraints of the same type to the problem. Calls the specified function for each element in [0, ..., count[ and adds a constraint as specified by the return value of the function.
	AddConstraintsC(Int32, Int32, FuncInt32, Int32, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of [0,count1[, ..., [0,countN[ and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsC(Int32, Int32, Int32, FuncInt32, Int32, Int32, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of [0,count1[, ..., [0,countN[ and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsC(Int32, Int32, Int32, Int32, FuncInt32, Int32, Int32, Int32, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of [0,count1[, ..., [0,countN[ and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsC(Int32, Int32, Int32, Int32, Int32, Function5Int32, Int32, Int32, Int32, Int32, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of [0,count1[, ..., [0,countN[ and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsT, C(IEnumerableT, FuncT, ConstraintDefinitionC)	Add multiple constraints of the same type to the problem. Calls the specified function for each element in data and adds a constraint as specified by the return value of the function.
	AddConstraintsT, C(IEnumeratorT, FuncT, ConstraintDefinitionC)	Add multiple constraints of the same type to the problem. Calls the specified functions for each element in data and adds a constraint as specified by the return values of the functions.
	AddConstraintsK1, K2, C(K1, K2, FuncK1, K2, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the arrays and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model. Obsolete
	AddConstraintsK1, K2, C(IEnumerableK1, IEnumerableK2, FuncK1, K2, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the iterables and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsK1, K2, K3, C(K1, K2, K3, FuncK1, K2, K3, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the arrays and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model. Obsolete
	AddConstraintsK1, K2, K3, C(IEnumerableK1, IEnumerableK2, IEnumerableK3, FuncK1, K2, K3, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the iterables and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsK1, K2, K3, K4, C(K1, K2, K3, K4, FuncK1, K2, K3, K4, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the arrays and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model. Obsolete
	AddConstraintsK1, K2, K3, K4, C(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4, FuncK1, K2, K3, K4, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the iterables and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddConstraintsK1, K2, K3, K4, K5, C(K1, K2, K3, K4, K5, Function5K1, K2, K3, K4, K5, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the arrays and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model. Obsolete
	AddConstraintsK1, K2, K3, K4, K5, C(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4, IEnumerableK5, Function5K1, K2, K3, K4, K5, ConstraintDefinitionC)	Add multiple constraints to this problem. Calls makeConstraint for each element in the cartesian product of the iterables and adds the constraint that is produced by this function call. A deep copy is made of each constraint, thus modifying the constraint later will not alter the model.
	AddCut(Int32, InequalityDefinition)	Add a cut at the current node. It is assumed that the left-hand Side (lhs) is formulated in terms of the original model. So you can use Variable instances to formulate it. When using plain variable indices, be sure these indices are for the original model. The function will automatically Transform (presolve) the cut to the presolved space. If presolving the cut fails then the cut is not added and the reason for failure is returned. Failing to Presolve (and thus adding) a cut is not a problem in every context. That is why this does not raise an exception but instead leaves it to the caller to decide whether this is an error or not.
	AddCut(Int32, XPRSprobRowInfo)	Add a single cut to the problem. (Inherited from XPRSprob)
	AddCut(Int32, Int32, Double, Char, Double)	Add a single cut to the problem. (Inherited from XPRSprob)
	AddCutlogCallback(CutlogCallback)	Add Cutlog callback. (Inherited from XPRSprob)
	AddCutlogCallback(CutlogCallback, Int32)	Add Cutlog callback with the specified priority. (Inherited from XPRSprob)
	AddCutlogCallback(CutlogCallback, Object)	Add Cutlog callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddCutlogCallback(CutlogCallback, Object, Int32)	Add Cutlog callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddCutmgrCallback(CutmgrCallback)	Add Cutmgr callback. (Inherited from XPRSprob) Obsolete
	AddCutmgrCallback(CutmgrCallback, Int32)	Add Cutmgr callback with the specified priority. (Inherited from XPRSprob) Obsolete
	AddCutmgrCallback(CutmgrCallback, Object)	Add Cutmgr callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob) Obsolete
	AddCutmgrCallback(CutmgrCallback, Object, Int32)	Add Cutmgr callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob) Obsolete
	AddCutRoundCallback(CutRoundCallback)	Add CutRound callback. (Inherited from XPRSprob)
	AddCutRoundCallback(CutRoundCallback, Int32)	Add CutRound callback with the specified priority. (Inherited from XPRSprob)
	AddCutRoundCallback(CutRoundCallback, Object)	Add CutRound callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddCutRoundCallback(CutRoundCallback, Object, Int32)	Add CutRound callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddCuts(Int32, Int32, Char, Double, Int32, Int32, Double)	Adds cuts directly to the matrix at the current node. The cuts will automatically be added to the cut pool. Cuts added to a node will automatically be inherited on any descendant node, unless explicitly deleted with a call to delCuts. (Inherited from XPRSprob)
	AddCuts(Int32, Int32, Char, Double, Int64, Int32, Double)	Adds cuts directly to the matrix at the current node. The cuts will automatically be added to the cut pool. Cuts added to a node will automatically be inherited on any descendant node, unless explicitly deleted with a call to delCuts. (Inherited from XPRSprob)
	AddGapNotifyCallback(GapNotifyCallback)	Add GapNotify callback. (Inherited from XPRSprob)
	AddGapNotifyCallback(GapNotifyCallback, Int32)	Add GapNotify callback with the specified priority. (Inherited from XPRSprob)
	AddGapNotifyCallback(GapNotifyCallback, Object)	Add GapNotify callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddGapNotifyCallback(GapNotifyCallback, Object, Int32)	Add GapNotify callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddGenCons(Int32, Int32, Int32, GenConsType, Int32, Int32, Int32, Int32, Double)	Adds one or more general constraints to the problem. Each general constraint y = f(x1, ..., xn, c1, ..., cn) consists of one or more (input) columns xi, zero or more constant values ci and a resultant (output column) y, different from all xi. General constraints include maximum and minimum (arbitrary number of input columns of any type and arbitrary number of input values, at least one total), and and or (at least one binary input column, no constant values, binary resultant) and absolute value (exactly one input column of arbitrary type, no constant values). (Inherited from XPRSprob)
	AddGenCons(Int32, Int64, Int64, GenConsType, Int32, Int64, Int32, Int64, Double)	Adds one or more general constraints to the problem. Each general constraint y = f(x1, ..., xn, c1, ..., cn) consists of one or more (input) columns xi, zero or more constant values ci and a resultant (output column) y, different from all xi. General constraints include maximum and minimum (arbitrary number of input columns of any type and arbitrary number of input values, at least one total), and and or (at least one binary input column, no constant values, binary resultant) and absolute value (exactly one input column of arbitrary type, no constant values). (Inherited from XPRSprob)
	AddInfnodeCallback(InfnodeCallback)	Add Infnode callback. (Inherited from XPRSprob)
	AddInfnodeCallback(InfnodeCallback, Int32)	Add Infnode callback with the specified priority. (Inherited from XPRSprob)
	AddInfnodeCallback(InfnodeCallback, Object)	Add Infnode callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddInfnodeCallback(InfnodeCallback, Object, Int32)	Add Infnode callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddIntsolCallback(IntsolCallback)	Add Intsol callback. (Inherited from XPRSprob)
	AddIntsolCallback(IntsolCallback, Int32)	Add Intsol callback with the specified priority. (Inherited from XPRSprob)
	AddIntsolCallback(IntsolCallback, Object)	Add Intsol callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddIntsolCallback(IntsolCallback, Object, Int32)	Add Intsol callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddLplogCallback(LplogCallback)	Add Lplog callback. (Inherited from XPRSprob)
	AddLplogCallback(LplogCallback, Int32)	Add Lplog callback with the specified priority. (Inherited from XPRSprob)
	AddLplogCallback(LplogCallback, Object)	Add Lplog callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddLplogCallback(LplogCallback, Object, Int32)	Add Lplog callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddManagedCut	Add a managed cut at the current node. It is assumed that the left-hand Side (lhs) is formulated in terms of the original model. So you can use Variable instances to formulate it. The function will automatically Transform (presolve) the cut to the presolved space. If presolving the cut fails then the cut is not added.
	AddManagedCuts(Int32, Int32, Char, Double, Int32, Int32, Double)	Adds cuts to the Optimizer's internal cut pool from within the cutround callback set by addCbCutRound. The cuts will be added to an internal pool of cuts managed by the Optimizer. The Optimizer will use internal priorities to dynamically load violated cuts from this pool into branch-and-bound node problems and remove inactive cuts. Cuts can be either local or global. Cuts flagged as local are assumed to be valid only for the the current node of the branch-and-bound search or any of its descendants. Global cuts are assumed to be valid for the whole problem and might be used on any node of the branch-and-bound search tree. The cuts should be formulated in the original space of variables and will automatically be presolved. (Inherited from XPRSprob)
	AddManagedCuts(Int32, Int32, Char, Double, Int64, Int32, Double)	Adds cuts to the Optimizer's internal cut pool from within the cutround callback set by addCbCutRound. The cuts will be added to an internal pool of cuts managed by the Optimizer. The Optimizer will use internal priorities to dynamically load violated cuts from this pool into branch-and-bound node problems and remove inactive cuts. Cuts can be either local or global. Cuts flagged as local are assumed to be valid only for the the current node of the branch-and-bound search or any of its descendants. Global cuts are assumed to be valid for the whole problem and might be used on any node of the branch-and-bound search tree. The cuts should be formulated in the original space of variables and will automatically be presolved. (Inherited from XPRSprob)
	AddMessageCallback(MessageCallback)	Add Message callback. (Inherited from XPRSprob)
	AddMessageCallback(MessageCallback, Int32)	Add Message callback with the specified priority. (Inherited from XPRSprob)
	AddMessageCallback(MessageCallback, Object)	Add Message callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMessageCallback(MessageCallback, Object, Int32)	Add Message callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMiplogCallback(MiplogCallback)	Add Miplog callback. (Inherited from XPRSprob)
	AddMiplogCallback(MiplogCallback, Int32)	Add Miplog callback with the specified priority. (Inherited from XPRSprob)
	AddMiplogCallback(MiplogCallback, Object)	Add Miplog callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMiplogCallback(MiplogCallback, Object, Int32)	Add Miplog callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMipSol(Double, Int32)	Add a new MIP solution. This is a convenience wrapper for [!:.AddMipSol(int, double[], int[], string )]. (Inherited from XPRSprob)
	AddMipSol(Double, Variable, String)	Adds a new feasible, infeasible or partial MIP solution for the problem to the Optimizer.
	AddMipSol(Double, Int32, String)	Add a new MIP solution. This is a convenience wrapper for [!:.AddMipSol(int, double[], int[], string )]. (Inherited from XPRSprob)
	AddMipSol(Int32, Double, Int32, String)	Adds a new feasible, infeasible or partial MIP solution for the problem to the Optimizer. (Inherited from XPRSprob)
	AddMipThreadCallback(MipThreadCallback)	Add MipThread callback. (Inherited from XPRSprob)
	AddMipThreadCallback(MipThreadCallback, Int32)	Add MipThread callback with the specified priority. (Inherited from XPRSprob)
	AddMipThreadCallback(MipThreadCallback, Object)	Add MipThread callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMipThreadCallback(MipThreadCallback, Object, Int32)	Add MipThread callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMipThreadDestroyCallback(MipThreadDestroyCallback)	Add MipThreadDestroy callback. (Inherited from XPRSprob)
	AddMipThreadDestroyCallback(MipThreadDestroyCallback, Int32)	Add MipThreadDestroy callback with the specified priority. (Inherited from XPRSprob)
	AddMipThreadDestroyCallback(MipThreadDestroyCallback, Object)	Add MipThreadDestroy callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMipThreadDestroyCallback(MipThreadDestroyCallback, Object, Int32)	Add MipThreadDestroy callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsgHandlerCallback(MsgHandlerCallback)	Add MsgHandler callback. (Inherited from XPRSprob)
	AddMsgHandlerCallback(TextWriter)	(Inherited from XPRSobject)
	AddMsgHandlerCallback(MsgHandlerCallback, Int32)	Add MsgHandler callback with the specified priority. (Inherited from XPRSprob)
	AddMsgHandlerCallback(MsgHandlerCallback, Object)	Add MsgHandler callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsgHandlerCallback(MsgHandlerCallback, Object, Int32)	Add MsgHandler callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsJobEndCallback(MsJobEndCallback)	Add MsJobEnd callback. (Inherited from XPRSprob)
	AddMsJobEndCallback(MsJobEndCallback, Int32)	Add MsJobEnd callback with the specified priority. (Inherited from XPRSprob)
	AddMsJobEndCallback(MsJobEndCallback, Object)	Add MsJobEnd callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsJobEndCallback(MsJobEndCallback, Object, Int32)	Add MsJobEnd callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsJobStartCallback(MsJobStartCallback)	Add MsJobStart callback. (Inherited from XPRSprob)
	AddMsJobStartCallback(MsJobStartCallback, Int32)	Add MsJobStart callback with the specified priority. (Inherited from XPRSprob)
	AddMsJobStartCallback(MsJobStartCallback, Object)	Add MsJobStart callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsJobStartCallback(MsJobStartCallback, Object, Int32)	Add MsJobStart callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsWinnerCallback(MsWinnerCallback)	Add MsWinner callback. (Inherited from XPRSprob)
	AddMsWinnerCallback(MsWinnerCallback, Int32)	Add MsWinner callback with the specified priority. (Inherited from XPRSprob)
	AddMsWinnerCallback(MsWinnerCallback, Object)	Add MsWinner callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddMsWinnerCallback(MsWinnerCallback, Object, Int32)	Add MsWinner callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNames(Int32, String, Int32, Int32)	Add names of the given type to the problem. (Inherited from XPRSprob)
	AddNames(Namespaces, String, Int32, Int32)	Add names to model. Note that if this method fails, then it is unspecified how many of the names were changed. (Inherited from XPRSprob)
	AddNewnodeCallback(NewnodeCallback)	Add Newnode callback. (Inherited from XPRSprob)
	AddNewnodeCallback(NewnodeCallback, Int32)	Add Newnode callback with the specified priority. (Inherited from XPRSprob)
	AddNewnodeCallback(NewnodeCallback, Object)	Add Newnode callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNewnodeCallback(NewnodeCallback, Object, Int32)	Add Newnode callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNlpCoefEvalErrorCallback(NlpCoefEvalErrorCallback)	Add NlpCoefEvalError callback. (Inherited from XPRSprob)
	AddNlpCoefEvalErrorCallback(NlpCoefEvalErrorCallback, Int32)	Add NlpCoefEvalError callback with the specified priority. (Inherited from XPRSprob)
	AddNlpCoefEvalErrorCallback(NlpCoefEvalErrorCallback, Object)	Add NlpCoefEvalError callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNlpCoefEvalErrorCallback(NlpCoefEvalErrorCallback, Object, Int32)	Add NlpCoefEvalError callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNodecutoffCallback(NodecutoffCallback)	Add Nodecutoff callback. (Inherited from XPRSprob)
	AddNodecutoffCallback(NodecutoffCallback, Int32)	Add Nodecutoff callback with the specified priority. (Inherited from XPRSprob)
	AddNodecutoffCallback(NodecutoffCallback, Object)	Add Nodecutoff callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNodecutoffCallback(NodecutoffCallback, Object, Int32)	Add Nodecutoff callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNodeLPSolvedCallback(NodeLPSolvedCallback)	Add NodeLPSolved callback. (Inherited from XPRSprob)
	AddNodeLPSolvedCallback(NodeLPSolvedCallback, Int32)	Add NodeLPSolved callback with the specified priority. (Inherited from XPRSprob)
	AddNodeLPSolvedCallback(NodeLPSolvedCallback, Object)	Add NodeLPSolved callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddNodeLPSolvedCallback(NodeLPSolvedCallback, Object, Int32)	Add NodeLPSolved callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddObj	Appends an objective function with the given coefficients to a multi-objective problem. The weight and priority of the objective are set to the given values. (Inherited from XPRSprob)
	AddObjective	Add a new objective function. This turns the problem into a multi-objective problem.
	AddOptnodeCallback(OptnodeCallback)	Add Optnode callback. (Inherited from XPRSprob)
	AddOptnodeCallback(OptnodeCallback, Int32)	Add Optnode callback with the specified priority. (Inherited from XPRSprob)
	AddOptnodeCallback(OptnodeCallback, Object)	Add Optnode callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddOptnodeCallback(OptnodeCallback, Object, Int32)	Add Optnode callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPreIntsolCallback(PreIntsolCallback)	Add PreIntsol callback. (Inherited from XPRSprob)
	AddPreIntsolCallback(PreIntsolCallback, Int32)	Add PreIntsol callback with the specified priority. (Inherited from XPRSprob)
	AddPreIntsolCallback(PreIntsolCallback, Object)	Add PreIntsol callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPreIntsolCallback(PreIntsolCallback, Object, Int32)	Add PreIntsol callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPrenodeCallback(PrenodeCallback)	Add Prenode callback. (Inherited from XPRSprob)
	AddPrenodeCallback(PrenodeCallback, Int32)	Add Prenode callback with the specified priority. (Inherited from XPRSprob)
	AddPrenodeCallback(PrenodeCallback, Object)	Add Prenode callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPrenodeCallback(PrenodeCallback, Object, Int32)	Add Prenode callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPresolveCallback(PresolveCallback)	Add Presolve callback. (Inherited from XPRSprob)
	AddPresolveCallback(PresolveCallback, Int32)	Add Presolve callback with the specified priority. (Inherited from XPRSprob)
	AddPresolveCallback(PresolveCallback, Object)	Add Presolve callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPresolveCallback(PresolveCallback, Object, Int32)	Add Presolve callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddPwlCons(Int32, Int32, Int32, Int32, Int32, Double, Double)	Adds one or more piecewise linear constraints to the problem. Each piecewise linear constraint y = f(x) consists of an (input) column x, a (different) resultant (output column) y and a piecewise linear function f. The piecewise linear function f is described by at least two breakpoints, which are given as combinations of x- and y-values. Discontinuous piecewise linear functions are supported, in this case both the left and right limit at a given point need to be entered as breakpoints. To differentiate between left and right limit, the breakpoints need to be given as a list with non-decreasing x-values. (Inherited from XPRSprob)
	AddPwlCons(Int32, Int64, Int32, Int32, Int64, Double, Double)	Adds one or more piecewise linear constraints to the problem. Each piecewise linear constraint y = f(x) consists of an (input) column x, a (different) resultant (output column) y and a piecewise linear function f. The piecewise linear function f is described by at least two breakpoints, which are given as combinations of x- and y-values. Discontinuous piecewise linear functions are supported, in this case both the left and right limit at a given point need to be entered as breakpoints. To differentiate between left and right limit, the breakpoints need to be given as a list with non-decreasing x-values. (Inherited from XPRSprob)
	AddQMatrix(Int32, Int32, Int32, Int32, Double)	Adds a new quadratic matrix into a row defined by triplets. (Inherited from XPRSprob)
	AddQMatrix(Int32, Int64, Int32, Int32, Double)	Adds a new quadratic matrix into a row defined by triplets. (Inherited from XPRSprob)
	AddRow(XPRSprobRowInfo)	Add a single row to the problem. (Inherited from XPRSprob)
	AddRow(XPRSprobRowInfo, String)	Add a single row to the problem. (Inherited from XPRSprob)
	AddRow(Int32, Double, Char, Double)	Add a single row to the problem. This is a short cut for AddRow(colind, colval, rowtype, rhs, null, null). (Inherited from XPRSprob)
	AddRow(Int32, Double, Char, Double, String)	Add a single row to the problem. (Inherited from XPRSprob)
	AddRow(Int32, Double, Char, Double, Double, String)	Add a single row to the problem. (Inherited from XPRSprob)
	AddRows(Int32, Int32, Char, Double, Int32, Int32, Double)	Adds rows to the optimizer matrix. (Inherited from XPRSprob)
	AddRows(Int32, Int64, Char, Double, Int64, Int32, Double)	Adds rows to the optimizer matrix. (Inherited from XPRSprob)
	AddRows(Int32, Int32, Char, Double, Double, Int32, Int32, Double)	Adds rows to the optimizer matrix. (Inherited from XPRSprob)
	AddRows(Int32, Int64, Char, Double, Double, Int64, Int32, Double)	Adds rows to the optimizer matrix. (Inherited from XPRSprob)
	AddSet	Add a single set constraint to this problem. (Inherited from XPRSprob)
	AddSetNames	Add the given set names to the problem. (Inherited from XPRSprob) Obsolete
	AddSets(SetType, Int32, Double, String)	Add multiple set constraints to the problem. (Inherited from XPRSprob)
	AddSets(Int32, Int32, Char, Int32, Int32, Double)	Allows sets to be added to the problem after passing it to the Optimizer using the input routines. (Inherited from XPRSprob)
	AddSets(Int32, Int32, SetType, Int32, Double, String)	Create multiple set constraints. (Inherited from XPRSprob)
	AddSets(Int32, Int64, Char, Int64, Int32, Double)	Allows sets to be added to the problem after passing it to the Optimizer using the input routines. (Inherited from XPRSprob)
	AddSlpCascadeEndCallback(SlpCascadeEndCallback)	Add SlpCascadeEnd callback. (Inherited from XPRSprob)
	AddSlpCascadeEndCallback(SlpCascadeEndCallback, Int32)	Add SlpCascadeEnd callback with the specified priority. (Inherited from XPRSprob)
	AddSlpCascadeEndCallback(SlpCascadeEndCallback, Object)	Add SlpCascadeEnd callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeEndCallback(SlpCascadeEndCallback, Object, Int32)	Add SlpCascadeEnd callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeStartCallback(SlpCascadeStartCallback)	Add SlpCascadeStart callback. (Inherited from XPRSprob)
	AddSlpCascadeStartCallback(SlpCascadeStartCallback, Int32)	Add SlpCascadeStart callback with the specified priority. (Inherited from XPRSprob)
	AddSlpCascadeStartCallback(SlpCascadeStartCallback, Object)	Add SlpCascadeStart callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeStartCallback(SlpCascadeStartCallback, Object, Int32)	Add SlpCascadeStart callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeVarCallback(SlpCascadeVarCallback)	Add SlpCascadeVar callback. (Inherited from XPRSprob)
	AddSlpCascadeVarCallback(SlpCascadeVarCallback, Int32)	Add SlpCascadeVar callback with the specified priority. (Inherited from XPRSprob)
	AddSlpCascadeVarCallback(SlpCascadeVarCallback, Object)	Add SlpCascadeVar callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeVarCallback(SlpCascadeVarCallback, Object, Int32)	Add SlpCascadeVar callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeVarFailCallback(SlpCascadeVarFailCallback)	Add SlpCascadeVarFail callback. (Inherited from XPRSprob)
	AddSlpCascadeVarFailCallback(SlpCascadeVarFailCallback, Int32)	Add SlpCascadeVarFail callback with the specified priority. (Inherited from XPRSprob)
	AddSlpCascadeVarFailCallback(SlpCascadeVarFailCallback, Object)	Add SlpCascadeVarFail callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpCascadeVarFailCallback(SlpCascadeVarFailCallback, Object, Int32)	Add SlpCascadeVarFail callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpConstructCallback(SlpConstructCallback)	Add SlpConstruct callback. (Inherited from XPRSprob)
	AddSlpConstructCallback(SlpConstructCallback, Int32)	Add SlpConstruct callback with the specified priority. (Inherited from XPRSprob)
	AddSlpConstructCallback(SlpConstructCallback, Object)	Add SlpConstruct callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpConstructCallback(SlpConstructCallback, Object, Int32)	Add SlpConstruct callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpDrColCallback(SlpDrColCallback)	Add SlpDrCol callback. (Inherited from XPRSprob)
	AddSlpDrColCallback(SlpDrColCallback, Int32)	Add SlpDrCol callback with the specified priority. (Inherited from XPRSprob)
	AddSlpDrColCallback(SlpDrColCallback, Object)	Add SlpDrCol callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpDrColCallback(SlpDrColCallback, Object, Int32)	Add SlpDrCol callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIntSolCallback(SlpIntSolCallback)	Add SlpIntSol callback. (Inherited from XPRSprob)
	AddSlpIntSolCallback(SlpIntSolCallback, Int32)	Add SlpIntSol callback with the specified priority. (Inherited from XPRSprob)
	AddSlpIntSolCallback(SlpIntSolCallback, Object)	Add SlpIntSol callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIntSolCallback(SlpIntSolCallback, Object, Int32)	Add SlpIntSol callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIterEndCallback(SlpIterEndCallback)	Add SlpIterEnd callback. (Inherited from XPRSprob)
	AddSlpIterEndCallback(SlpIterEndCallback, Int32)	Add SlpIterEnd callback with the specified priority. (Inherited from XPRSprob)
	AddSlpIterEndCallback(SlpIterEndCallback, Object)	Add SlpIterEnd callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIterEndCallback(SlpIterEndCallback, Object, Int32)	Add SlpIterEnd callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIterStartCallback(SlpIterStartCallback)	Add SlpIterStart callback. (Inherited from XPRSprob)
	AddSlpIterStartCallback(SlpIterStartCallback, Int32)	Add SlpIterStart callback with the specified priority. (Inherited from XPRSprob)
	AddSlpIterStartCallback(SlpIterStartCallback, Object)	Add SlpIterStart callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIterStartCallback(SlpIterStartCallback, Object, Int32)	Add SlpIterStart callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIterVarCallback(SlpIterVarCallback)	Add SlpIterVar callback. (Inherited from XPRSprob)
	AddSlpIterVarCallback(SlpIterVarCallback, Int32)	Add SlpIterVar callback with the specified priority. (Inherited from XPRSprob)
	AddSlpIterVarCallback(SlpIterVarCallback, Object)	Add SlpIterVar callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpIterVarCallback(SlpIterVarCallback, Object, Int32)	Add SlpIterVar callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpPreUpdateLinearizationCallback(SlpPreUpdateLinearizationCallback)	Add SlpPreUpdateLinearization callback. (Inherited from XPRSprob)
	AddSlpPreUpdateLinearizationCallback(SlpPreUpdateLinearizationCallback, Int32)	Add SlpPreUpdateLinearization callback with the specified priority. (Inherited from XPRSprob)
	AddSlpPreUpdateLinearizationCallback(SlpPreUpdateLinearizationCallback, Object)	Add SlpPreUpdateLinearization callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddSlpPreUpdateLinearizationCallback(SlpPreUpdateLinearizationCallback, Object, Int32)	Add SlpPreUpdateLinearization callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddUserSolNotifyCallback(UserSolNotifyCallback)	Add UserSolNotify callback. (Inherited from XPRSprob)
	AddUserSolNotifyCallback(UserSolNotifyCallback, Int32)	Add UserSolNotify callback with the specified priority. (Inherited from XPRSprob)
	AddUserSolNotifyCallback(UserSolNotifyCallback, Object)	Add UserSolNotify callback with a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddUserSolNotifyCallback(UserSolNotifyCallback, Object, Int32)	Add UserSolNotify callback with specified priority and a user object that is passed to the callback on invocation. (Inherited from XPRSprob)
	AddVariable	Add a single variable to this problem. This variable will be continuous, have default Bounds (0 and infinity) and will not have a name.
	AddVariable(ColumnType)	Add a single variable to this problem. The variable will have default bounds and no name.
	AddVariable(String)	Add a single variable to this problem. The variable will have default Type (continuous) and Bounds (0 and infinity).
	AddVariable(ColumnType, String)	Add a single variable to this problem. The variable will have default bounds.
	AddVariable(Double, Double, ColumnType)	Add a single variable to this problem.
	AddVariable(Double, Double, ColumnType, String)	Add a single variable to this problem.
	AddVariable(Double, Double, ColumnType, Double, String)	Add a single variable to this problem.
	AddVariables(Int32)	Create an 1-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary variables Optimizer.Objects.Variable[ ] = prob.AddVariables(dim) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderVariableArrayBuilder for details of how to modify the specification in the builder.
	AddVariables(Int32, Int32)	Create an 2-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary variables Optimizer.Objects.Variable[ ,] = prob.AddVariables(dim1 ,dim2) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderVariableArray2Builder for details of how to modify the specification in the builder.
	AddVariables(Int32, Int32, Int32)	Create an 3-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary variables Optimizer.Objects.Variable[ , ,] = prob.AddVariables(dim1 ,dim2 ,dim3) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderVariableArray3Builder for details of how to modify the specification in the builder.
	AddVariables(Int32, Int32, Int32, Int32)	Create an 4-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary variables Optimizer.Objects.Variable[ , , ,] = prob.AddVariables(dim1 ,dim2 ,dim3 ,dim4) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderVariableArray4Builder for details of how to modify the specification in the builder.
	AddVariables(Int32, Int32, Int32, Int32, Int32)	Create an 5-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C# // Create a multi-dimensional array of binary variables Optimizer.Objects.Variable[ , , , ,] = prob.AddVariables(dim1 ,dim2 ,dim3 ,dim4 ,dim5) .WithType(Optimizer.Objects.ColumnType.Binary) .ToArray(); See VariableBuilderVariableArray5Builder for details of how to modify the specification in the builder.
	AddVariablesK1(K1)	Create an 1-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns System.Collections.Generic.Dictionary<K1 ,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMapBuilder] for details of how to modify the specification in the builder.
	AddVariablesK1(IEnumerableK1)	Create an 1-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional map of binary variables System.Collections.Generic.Dictionary<K1 ,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMapBuilder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2(K1, K2)	Create an 2-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap2<K1 ,K2,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap2Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2(IEnumerableK1, IEnumerableK2)	Create an 2-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional map of binary variables Optimizer.Maps.HashMap2<K1 ,K2,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap2Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2, K3(K1, K2, K3)	Create an 3-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap3<K1 ,K2 ,K3,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap3Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2, K3(IEnumerableK1, IEnumerableK2, IEnumerableK3)	Create an 3-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional map of binary variables Optimizer.Maps.HashMap3<K1 ,K2 ,K3,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2 ,iterable3) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap3Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2, K3, K4(K1, K2, K3, K4)	Create an 4-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap4<K1 ,K2 ,K3 ,K4,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap4Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2, K3, K4(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4)	Create an 4-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional map of binary variables Optimizer.Maps.HashMap4<K1 ,K2 ,K3 ,K4,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2 ,iterable3 ,iterable4) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap4Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2, K3, K4, K5(K1, K2, K3, K4, K5)	Create an 5-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional array of binary columns Optimizer.Maps.HashMap5<K1 ,K2 ,K3 ,K4 ,K5,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap5Builder] for details of how to modify the specification in the builder.
	AddVariablesK1, K2, K3, K4, K5(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4, IEnumerableK5)	Create an 5-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C# // Create a multi-dimensional map of binary variables Optimizer.Maps.HashMap5<K1 ,K2 ,K3 ,K4 ,K5,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2 ,iterable3 ,iterable4 ,iterable5) .WithType(Optimizer.Objects.ColumnType.Binary) .ToMap(); See [!:Optimizer.VariableBuilder.VariableMap5Builder] for details of how to modify the specification in the builder.
	Alter	Alters or changes matrix elements, right hand sides and constraint senses in the current problem. (Inherited from XPRSprob) Obsolete
	BasisCondition	Calculates the condition number of the current basis after solving the LP relaxation. (Inherited from XPRSprob) Obsolete
	BasisStability(Int32, Int32, Int32)	Convenience wrapper for BasisStability(int,int,int,double) that returns the output argument. (Inherited from XPRSprob)
	BasisStability(Int32, Int32, Int32, Double)	Calculates various measures for the stability of the current basis, including the basis condition number. (Inherited from XPRSprob)
	BinVar	Create a new binary variable. (Inherited from XPRSprob) Obsolete
	BinVar(String)	Create a new binary variable with the specified name. (Inherited from XPRSprob) Obsolete
	BinVarArray(Int32, FuncInt32, String)	Create an array of binary variables. (Inherited from XPRSprob) Obsolete
	BinVarArrayT(ICollectionT, FuncT, String)	Create an array of binary variables. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	BinVarMapT(ICollectionT, FuncT, String)	Create a map of binary variables. The function creates a new variable for each object in objs. It returns a hash map in which each object in objs maps to the index of the variable that was created for it. (Inherited from XPRSprob) Obsolete
	BinVarMapT(ICollectionT, FuncT, String, IDictionaryT, Int32)	Create a map of binary variables. The function creates a new variable for each object in objs. For each object o it puts the Pair (o, idx) into map where idx is the index of the variable that was created for o. (Inherited from XPRSprob) Obsolete
	Bndsa	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds. If the bounds are varied within these ranges the current basis remains optimal and feasible. (Inherited from XPRSprob)
	BndSA(Variable, Double, Double, Double, Double)	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds. If the bounds are varied within these ranges the current basis remains optimal and feasible.
	BndSA(Int32, Variable, Double, Double, Double, Double)	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds. If the bounds are varied within these ranges the current basis remains optimal and feasible.
	BTran	Post-multiplies a (row) vector provided by the user by the inverse of the current basis. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray2Builder)	Add variables as specified by the builder. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray3Builder)	Add variables as specified by the builder. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray4Builder)	Add variables as specified by the builder. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray5Builder)	Add variables as specified by the builder. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArrayBuilder)	Add variables as specified by the builder. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray2Builder, ActionInt32)	TODO: Hide this from the user. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray3Builder, ActionInt32)	TODO: Hide this from the user. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray4Builder, ActionInt32)	TODO: Hide this from the user. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArray5Builder, ActionInt32)	TODO: Hide this from the user. (Inherited from XPRSprob)
	BuildColumns(VariableBuilderArrayBuilder, ActionInt32)	TODO: Hide this from the user. (Inherited from XPRSprob)
	BuildColumnsK1(Boolean)	(Inherited from XPRSprob)
	BuildColumnsI(VariableBuilderArray2Builder, FuncI, ActionI, Int32, Int32, Int32)	Add columns as specified by the builder. This is a parametrized version of [!:.BuildColumns(VariableBuilder.Array2Builder)]. (Inherited from XPRSprob)
	BuildColumnsI(VariableBuilderArray3Builder, FuncI, Action5I, Int32, Int32, Int32, Int32)	Add columns as specified by the builder. This is a parametrized version of [!:.BuildColumns(VariableBuilder.Array3Builder)]. (Inherited from XPRSprob)
	BuildColumnsI(VariableBuilderArray4Builder, FuncI, Action6I, Int32, Int32, Int32, Int32, Int32)	Add columns as specified by the builder. This is a parametrized version of [!:.BuildColumns(VariableBuilder.Array4Builder)]. (Inherited from XPRSprob)
	BuildColumnsI(VariableBuilderArray5Builder, FuncI, Action7I, Int32, Int32, Int32, Int32, Int32, Int32)	Add columns as specified by the builder. This is a parametrized version of [!:.BuildColumns(VariableBuilder.Array5Builder)]. (Inherited from XPRSprob)
	BuildColumnsI(VariableBuilderArrayBuilder, FuncI, ActionI, Int32, Int32)	Add columns as specified by the builder. This is a parametrized version of [!:.BuildColumns(VariableBuilder.ArrayBuilder)]. (Inherited from XPRSprob)
	BuildColumnsK1(VariableBuilderMapBuilderK1, ActionK1, Int32, Action)	Create a column map from a builder. This function parametrizes creation of a map that maps keys to created objects. (Inherited from XPRSprob)
	BuildColumnsK1, K2(VariableBuilderMap2BuilderK1, K2)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsK1, K2(VariableBuilderMap2BuilderK1, K2, ActionK1, K2, Int32, Action)	Create a column map from a builder. This function parametrizes creation of a map that maps keys to created objects. (Inherited from XPRSprob)
	BuildColumnsI, K1(VariableBuilderMapBuilderK1, FuncI, ActionI, K1, Int32)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsK1, K2, K3(VariableBuilderMap3BuilderK1, K2, K3)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsI, K1, K2(VariableBuilderMap2BuilderK1, K2, FuncI, ActionI, K1, K2, Int32)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsK1, K2, K3(VariableBuilderMap3BuilderK1, K2, K3, ActionK1, K2, K3, Int32, Action)	Create a column map from a builder. This function parametrizes creation of a map that maps keys to created objects. (Inherited from XPRSprob)
	BuildColumnsK1, K2, K3, K4(VariableBuilderMap4BuilderK1, K2, K3, K4)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsI, K1, K2, K3(VariableBuilderMap3BuilderK1, K2, K3, FuncI, Action5I, K1, K2, K3, Int32)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsK1, K2, K3, K4(VariableBuilderMap4BuilderK1, K2, K3, K4, Action5K1, K2, K3, K4, Int32, Action)	Create a column map from a builder. This function parametrizes creation of a map that maps keys to created objects. (Inherited from XPRSprob)
	BuildColumnsK1, K2, K3, K4, K5(VariableBuilderMap5BuilderK1, K2, K3, K4, K5)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsI, K1, K2, K3, K4(VariableBuilderMap4BuilderK1, K2, K3, K4, FuncI, Action6I, K1, K2, K3, K4, Int32)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildColumnsK1, K2, K3, K4, K5(VariableBuilderMap5BuilderK1, K2, K3, K4, K5, Action6K1, K2, K3, K4, K5, Int32, Action)	Create a column map from a builder. This function parametrizes creation of a map that maps keys to created objects. (Inherited from XPRSprob)
	BuildColumnsI, K1, K2, K3, K4, K5(VariableBuilderMap5BuilderK1, K2, K3, K4, K5, FuncI, Action7I, K1, K2, K3, K4, K5, Int32)	Create a column map from a builder. (Inherited from XPRSprob)
	BuildVariables(VariableBuilderArray2Builder)	Create a variable array from a builder.
	BuildVariables(VariableBuilderArray3Builder)	Create a variable array from a builder.
	BuildVariables(VariableBuilderArray4Builder)	Create a variable array from a builder.
	BuildVariables(VariableBuilderArray5Builder)	Create a variable array from a builder.
	BuildVariables(VariableBuilderArrayBuilder)	Create a variable array from a builder.
	BuildVariablesK1(Boolean)
	BuildVariablesI(VariableBuilderArray2Builder, FuncI, ActionI, Int32, Int32, Variable)	Create a variable array from a builder. This is a parametrized version of [!:.BuildVariables(VariableBuilder.Array2Builder)].
	BuildVariablesI(VariableBuilderArray3Builder, FuncI, Action5I, Int32, Int32, Int32, Variable)	Create a variable array from a builder. This is a parametrized version of [!:.BuildVariables(VariableBuilder.Array3Builder)].
	BuildVariablesI(VariableBuilderArray4Builder, FuncI, Action6I, Int32, Int32, Int32, Int32, Variable)	Create a variable array from a builder. This is a parametrized version of [!:.BuildVariables(VariableBuilder.Array4Builder)].
	BuildVariablesI(VariableBuilderArray5Builder, FuncI, Action7I, Int32, Int32, Int32, Int32, Int32, Variable)	Create a variable array from a builder. This is a parametrized version of [!:.BuildVariables(VariableBuilder.Array5Builder)].
	BuildVariablesI(VariableBuilderArrayBuilder, FuncI, ActionI, Int32, Variable)	Create a variable array from a builder. This is a parametrized version of [!:.BuildVariables(VariableBuilder.ArrayBuilder)].
	BuildVariablesK1, K2(VariableBuilderMap2BuilderK1, K2)	Create a variable map from a builder.
	BuildVariablesI, K1(VariableBuilderMapBuilderK1, FuncI, ActionI, K1, Variable)	Create a variable map from a builder.
	BuildVariablesK1, K2, K3(VariableBuilderMap3BuilderK1, K2, K3)	Create a variable map from a builder.
	BuildVariablesI, K1, K2(VariableBuilderMap2BuilderK1, K2, FuncI, ActionI, K1, K2, Variable)	Create a variable map from a builder.
	BuildVariablesK1, K2, K3, K4(VariableBuilderMap4BuilderK1, K2, K3, K4)	Create a variable map from a builder.
	BuildVariablesI, K1, K2, K3(VariableBuilderMap3BuilderK1, K2, K3, FuncI, Action5I, K1, K2, K3, Variable)	Create a variable map from a builder.
	BuildVariablesK1, K2, K3, K4, K5(VariableBuilderMap5BuilderK1, K2, K3, K4, K5)	Create a variable map from a builder.
	BuildVariablesI, K1, K2, K3, K4(VariableBuilderMap4BuilderK1, K2, K3, K4, FuncI, Action6I, K1, K2, K3, K4, Variable)	Create a variable map from a builder.
	BuildVariablesI, K1, K2, K3, K4, K5(VariableBuilderMap5BuilderK1, K2, K3, K4, K5, FuncI, Action7I, K1, K2, K3, K4, K5, Variable)	Create a variable map from a builder.
	CalcObjective(Double)	Convenience wrapper for CalcObjective(double[],double) that returns the output argument. (Inherited from XPRSprob)
	CalcObjective(Double, Double)	Calculates the objective value of a given solution. (Inherited from XPRSprob)
	CalcObjN(Int32, Double)	Convenience wrapper for CalcObjN(int,double[],double) that returns the output argument. (Inherited from XPRSprob)
	CalcObjN(Int32, Double, Double)	Calculates the objective value of the given objective function in a multi-objective problem. (Inherited from XPRSprob)
	CalcReducedCosts	Calculates the reduced cost values for a given (row) dual solution. (Inherited from XPRSprob)
	CalcSlacks	Calculates the row slack values for a given solution. (Inherited from XPRSprob)
	CalcSolInfo(Double, Double, Int32)	Convenience wrapper for CalcSolInfo(double[],double[],int,double) that returns the output argument. (Inherited from XPRSprob)
	CalcSolInfo(Double, Double, Int32, Double)	Calculates the required property of a solution, like maximum infeasibility of a given primal and dual solution. (Inherited from XPRSprob)
	ChgBounds(Int32, Double, Double)	Change bounds of a single column. (Inherited from XPRSprob)
	ChgBounds(Variable, Char, Double)	Change bounds for multiple variables.
	ChgBounds(Int32, Int32, Char, Double)	Used to change the bounds on columns in the matrix. (Inherited from XPRSprob)
	ChgCoef(Inequality, Variable, Double)	Changes the coefficient for variable in row in the linear matrix.
	ChgCoef(Int32, Int32, Double)	Used to change a single coefficient in the matrix. If the coefficient does not already exist, a new coefficient will be added to the matrix. If many coefficients are being added to a row of the matrix, it may be more efficient to delete the old row of the matrix and add a new row. (Inherited from XPRSprob)
	ChgCoefs	Change coefficients in the linear matrix. The function changes the coefficients as indicated by the triplets given by row, variable, coefficient.
	ChgColType(Int32, Char)	Convenience wrapper for ChgColType(int, int[], char[]). (Inherited from XPRSprob)
	ChgColType(Variable, ColumnType)	Change types for multiple variables.
	ChgColType(Int32, Int32, Char)	Used to change the type of a specified set of columns in the matrix. (Inherited from XPRSprob)
	ChgGlbLimit(Int32, Double)	Convenience wrapper for ChgGlbLimit(int, int[], double[]). (Inherited from XPRSprob)
	ChgGlbLimit(Int32, Int32, Double)	Used to change semi-continuous or semi-integer lower bounds, or upper limits on partial integers. (Inherited from XPRSprob)
	ChgLB	Change the lower bound of a single column. (Inherited from XPRSprob)
	ChgMCoef(Int32, Int32, Int32, Double)	Used to change multiple coefficients in the matrix. If any coefficient does not already exist, it will be added to the matrix. If many coefficients are being added to a row of the matrix, it may be more efficient to delete the old row of the matrix and add a new one. (Inherited from XPRSprob)
	ChgMCoef(Int64, Int32, Int32, Double)	Used to change multiple coefficients in the matrix. If any coefficient does not already exist, it will be added to the matrix. If many coefficients are being added to a row of the matrix, it may be more efficient to delete the old row of the matrix and add a new one. (Inherited from XPRSprob)
	ChgMQObj(Int32, Int32, Int32, Double)	Used to change multiple quadratic coefficients in the objective function. If any of the coefficients does not exist already, new coefficients will be added to the objective function. (Inherited from XPRSprob)
	ChgMQObj(Int64, Int32, Int32, Double)	Used to change multiple quadratic coefficients in the objective function. If any of the coefficients does not exist already, new coefficients will be added to the objective function. (Inherited from XPRSprob)
	ChgObj(Int32, Double)	Convenience wrapper for ChgObj(int, int[], double[]). (Inherited from XPRSprob)
	ChgObj(Variable, Double)	Change objective function coefficient. This changes the linear coefficient in the first/primary objective function. In order to delete a coefficient from the objective set it to 0 (zero).
	ChgObj(Variable, Double)	Change objective function coefficients. This changes the linear coefficients in the first/primary objective function. In order to delete a coefficient from the objective set it to 0 (zero).
	ChgObj(Int32, Int32, Double)	Used to change the objective function coefficients. (Inherited from XPRSprob)
	ChgObjN(Int32, Variable, Double)	Change an objective function coefficient for a multi-objective problem. This changes the linear coefficient in the objective function objidx. In order to delete a coefficient from the objective set it to 0 (zero).
	ChgObjN(Int32, Variable, Double)	Change objective function coefficients for a multi-objective problem. This changes tje linear coefficients in the objective function objidx. In order to delete a coefficient from the obejctive set it to 0 (zero).
	ChgObjN(Int32, Int32, Int32, Double)	Modifies one or more coefficients of an objective function in a multi-objective problem. If the objective already exists, any coefficients not present in the colind and objcoef arrays will unchanged. If the objective does not exist, it will be added to the problem. (Inherited from XPRSprob)
	ChgObjSense(Int32)	(Inherited from XPRSprob)
	ChgObjSense(ObjSense)	Changes the problem's objective function sense to minimize or maximize. (Inherited from XPRSprob)
	ChgQObj	Used to change a single quadratic coefficient in the objective function corresponding to the variable pair (objqcol1,objqcol2) of the Hessian matrix. (Inherited from XPRSprob)
	ChgQRowCoeff	Changes a single quadratic coefficient in a row. (Inherited from XPRSprob)
	ChgRHS(Inequality, Double)	Change right-hand side for multiple rows.
	ChgRHS(Int32, Double)	Convenience wrapper for ChgRHS(int, int[], double[]). (Inherited from XPRSprob)
	ChgRHS(Int32, Int32, Double)	Used to change right--hand side values of the problem. (Inherited from XPRSprob)
	ChgRHSRange(Inequality, Double)	Change right-hand side ranges for multiple rows.
	ChgRHSRange(Int32, Double)	Convenience wrapper for ChgRHSRange(int, int[], double[]). (Inherited from XPRSprob)
	ChgRHSRange(Int32, Int32, Double)	Used to change the range for a row of the problem matrix. (Inherited from XPRSprob)
	ChgRowType(Inequality, RowType)	Change types for multiple rows.
	ChgRowType(Int32, Char)	Convenience wrapper for ChgRowType(int, int[], char[]). (Inherited from XPRSprob)
	ChgRowType(Int32, Int32, Char)	Used to change the type of a row in the matrix. (Inherited from XPRSprob)
	ChgUB	Change the upper bound of a single column. (Inherited from XPRSprob)
	ClearIIS	Resets the search for Irreducible Infeasible Sets (IIS). (Inherited from XPRSprob)
	ClearObjective	Clear the objective function. (Inherited from XPRSprob)
	ClearRowFlags	Clears extra information attached to a range of rows. (Inherited from XPRSprob)
	Clone	Create a copy of the problem, including controls and callbacks. (Inherited from XPRSprob)
	ColumnTypeToArray	Convert a column type array to an array of low-level type indicators. (Inherited from XPRSprob)
	ContVar	Create a continuous variable with default bounds [0, infinity]. (Inherited from XPRSprob) Obsolete
	ContVar(String)	Create a continuous variable with default bounds [0, infinity] and a specified name. (Inherited from XPRSprob) Obsolete
	ContVar(Double, Double)	Create a continuous variable with specified bounds. (Inherited from XPRSprob) Obsolete
	ContVar(Double, Double, String)	Create a continuous variable with specified bounds and name. (Inherited from XPRSprob) Obsolete
	ContVarArray(Int32, Double, Double, FuncInt32, String)	Create an array of continuous variables. All the variables created by this function have the same types and bounds. (Inherited from XPRSprob) Obsolete
	ContVarArray(Int32, Double, Double, String)	Create an array of continuous variables. (Inherited from XPRSprob) Obsolete
	ContVarArray(Int32, FuncInt32, Double, FuncInt32, Double, FuncInt32, String)	Create an array of continuous variables. (Inherited from XPRSprob) Obsolete
	ContVarArrayT(ICollectionT, Double, Double, FuncT, String)	Create an array of continuous variables. All the variables created by this function have the same types and bounds. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	ContVarArrayT(ICollectionT, FuncT, Double, FuncT, Double, FuncT, String)	Create an array of continuous variables. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	ContVarMapT(ICollectionT, FuncT, Double, FuncT, Double, FuncT, String)	Create a map of continuous variables. The function creates a new variable for each object in objs. It returns a hash map in which each object in objs maps to the index of the variable that was created for it. (Inherited from XPRSprob) Obsolete
	ContVarMapT(ICollectionT, FuncT, Double, FuncT, Double, FuncT, String, IDictionaryT, Int32)	Create a map of continuous variables. The function creates a new variable for each object in objs. For each object o it puts the Pair (o, idx) into map where idx is the index of the variable that was created for o. (Inherited from XPRSprob) Obsolete
	CopyCallbacks	Copy callbacks to this XPRSprob from another (Inherited from XPRSprob)
	CopyControls	Copies controls defined for one problem to another. (Inherited from XPRSprob)
	CopyProb(XPRSprob)	Create a copy of the problem. (Inherited from XPRSprob)
	CopyProb(XPRSprob, String)	Create a copy of the problem with the given name. (Inherited from XPRSprob)
	CreateBranchObject	Create a new branch object. This is different from the super class's CreateBranchObject() function in two aspects: - it returns an instance of BranchObject, not XPRSbranchobject. The former is a subclass of the latter and has functions to add bounds and constraints that reference Variable objects. - the returned object always operates in the original space.
	CreateBranchObject(Boolean)	Create a branching object. (Inherited from XPRSprob)
	CreateBranchObjectFromGlobal	(Inherited from XPRSprob) Obsolete
	CrossoverLpSol	Convenience wrapper for CrossoverLpSol(int) that returns the output argument. (Inherited from XPRSprob)
	CrossoverLpSol(Int32)	Provides a basic optimal solution for a given solution of an LP problem. This function behaves like the crossover after the barrier algorithm. (Inherited from XPRSprob)
	DelCols	Delete columns from this problem. Note that this may be expensive if you use Variable instances to formulate your problem since indices of remaining variables will have to be updated after columns were deleted from the underlying model. If you have to delete multiple variables then it is best to collect all variables to be deleted in an array and then delete all of them with a single call to this function. (Overrides XPRSprobDelCols(Int32, Int32))
	DelCPCuts	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes. These cuts may be removed from a given node using delCuts, but if this is to be applied in a large number of cases, it may be preferable to remove the cut completely from the cut pool. This is achieved using delCPCuts. (Inherited from XPRSprob)
	DelCPCuts(Int32, Cut)	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes. These cuts may be removed from a given node using delCuts, but if this is to be applied in a large number of cases, it may be preferable to remove the cut completely from the cut pool. This is achieved using delCPCuts. (Inherited from XPRSprob)
	DelCPCuts(Int32, Int32)	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes. These cuts may be removed from a given node using delCuts, but if this is to be applied in a large number of cases, it may be preferable to remove the cut completely from the cut pool. This is achieved using delCPCuts. (Inherited from XPRSprob)
	DelCPCuts(Int32, Int32, Int32, Cut)	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes. These cuts may be removed from a given node using delCuts, but if this is to be applied in a large number of cases, it may be preferable to remove the cut completely from the cut pool. This is achieved using delCPCuts. (Inherited from XPRSprob)
	DelCuts(Int32)	Deletes cuts from the matrix at the current node. Cuts from the parent node which have been automatically restored may be deleted as well as cuts added to the current node using addCuts or loadCuts. The cuts to be deleted can be specified in a number of ways. If a cut is ruled out by any one of the criteria it will not be deleted. (Inherited from XPRSprob)
	DelCuts(Int32, Int32, Cut)	Deletes cuts from the matrix at the current node. Cuts from the parent node which have been automatically restored may be deleted as well as cuts added to the current node using addCuts or loadCuts. The cuts to be deleted can be specified in a number of ways. If a cut is ruled out by any one of the criteria it will not be deleted. (Inherited from XPRSprob)
	DelCuts(Int32, Int32, Int32)	Deletes cuts from the matrix at the current node. Cuts from the parent node which have been automatically restored may be deleted as well as cuts added to the current node using addCuts or loadCuts. The cuts to be deleted can be specified in a number of ways. If a cut is ruled out by any one of the criteria it will not be deleted. (Inherited from XPRSprob)
	DelCuts(Int32, Int32, Int32, Double)	Deletes cuts from the matrix at the current node. Cuts from the parent node which have been automatically restored may be deleted as well as cuts added to the current node using addCuts or loadCuts. The cuts to be deleted can be specified in a number of ways. If a cut is ruled out by any one of the criteria it will not be deleted. (Inherited from XPRSprob)
	DelCuts(Int32, Int32, Int32, Double, Int32, Cut)	Deletes cuts from the matrix at the current node. Cuts from the parent node which have been automatically restored may be deleted as well as cuts added to the current node using addCuts or loadCuts. The cuts to be deleted can be specified in a number of ways. If a cut is ruled out by any one of the criteria it will not be deleted. (Inherited from XPRSprob)
	DelGenCons	Delete constraints from this problem. Note that this may be expensive if you use GeneralConstraint instances to formulate your problem since indices of remaining constraints will have to be updated after constraints were deleted from the underlying model. If you have to delete multiple constraints then it is best to collect all constraints to be deleted in an array and then delete all of them with a single call to this function. (Overrides XPRSprobDelGenCons(Int32, Int32))
	DelGeneralConstraints	Delete general constraints from this problem.
	DelIndicator(Inequality)	Delete a single indicator constraint. This only deletes the "indicator property from the specified row. Neither the associated variable nor the row are deleted.
	DelIndicator(Int32)	Delete a single indicator constraint. This only deletes the "indicator property from the specified row. Neither the associated variable nor the row are deleted. (Inherited from XPRSprob)
	DelIndicators	Delete indicator constraints. This turns the specified rows into normal rows (not controlled by indicator variables). (Inherited from XPRSprob)
	DelInequalities	Delete inequality constraints from this problem.
	DelObj	Removes an objective function from a multi-objective problem. Any objectives with index > objidx will be shifted down. Deleting the last objective function in the problem causes all the objective coefficients to be zeroed, but OBJECTIVES remains set to 1. (Inherited from XPRSprob)
	DelPwlCons	Delete piecewise linear constraints from this problem. Note that this may be expensive if you use PWL instances to formulate your problem since indices of remaining variables will have to be updated after columns were deleted from the underlying model. If you have to delete multiple variables then it is best to collect all variables to be deleted in an array and then delete all of them with a single call to this function. (Overrides XPRSprobDelPwlCons(Int32, Int32))
	DelPwlConstraints	Delete PWL constraints from this problem.
	DelQMatrix	Deletes the quadratic part of a row or of the objective function. (Inherited from XPRSprob)
	DelRows	Delete rows from this problem. Note that this may be expensive if you use Inequality instances to formulate your problem since indices of remaining rows will have to be updated after rows were deleted from the underlying model. If you have to delete multiple rows then it is best to collect all rows to be deleted in an array and then delete all of them with a single call to this function. (Overrides XPRSprobDelRows(Int32, Int32))
	DelSets	Delete sets from this problem. Note that this may be expensive if you use SOS instances to formulate your problem since indices of remaining sets will have to be updated after sets were deleted from the underlying model. If you have to delete multiple sets then it is best to collect all sets to be deleted in an array and then delete all of them with a single call to this function. (Overrides XPRSprobDelSets(Int32, Int32))
	DelSOS(SOS)	Delete a single SOS from the problem.
	DelSOS(SOS)	Delete special ordered set constraints. Removes all the specified special ordered set constraints from this problem.
	DelVariables	Delete variables from this problem.
	Destroy	Destroy the problem, freeing all native resources used. Equivalent to calling Dipose(). (Inherited from XPRSprob) Obsolete
	Dispose	(Inherited from XPRSobject)
	Drop	Function that is called when the whole problem representation is dropped and will be replaced by a new one soon. This happens for example if readProb is called or any of the load functions are called. (Overrides XPRSprobDrop)
	DumpControls	Displays the list of controls and their current value for those controls that have been set to a non default value. (Inherited from XPRSprob)
	Equals	(Inherited from XPRSobject)
	EstimateRowDualRanges	Performs a dual side range sensitivity analysis, i.e. calculates estimates for the possible ranges for dual values. (Inherited from XPRSprob)
	Finalize	(Inherited from XPRSobject)
	FirstIIS(Int32)	Convenience wrapper for FirstIIS(int,int) that returns the output argument. (Inherited from XPRSprob)
	FirstIIS(Int32, Int32)	Initiates a search for an Irreducible Infeasible Set (IIS) in an infeasible problem. (Inherited from XPRSprob)
	FixGlobals	(Inherited from XPRSprob) Obsolete
	FixMIPEntities	Fixes all the MIP entities to the values of the last found MIP solution. This is useful for finding the reduced costs for the continuous variables after the integer variables have been fixed to their optimal values. (Inherited from XPRSprob)
	FTran	Pre-multiplies a (column) vector provided by the user by the inverse of the current matrix. (Inherited from XPRSprob)
	GeneralConstraintForIndex	Map a general constraint index to a GeneralConstraint object.
	GeneralConstraintForIndices	Map a range of general constraint indices to GeneralConstraint objects.
	GetAttribInfo	Accesses the id number and the type information of an attribute given its name. An attribute name may be for example XPRS_ROWS. Names are case-insensitive and may or may not have the XPRS_ prefix. The id number is the constant used to identify the attribute for calls to functions such as getIntAttrib. The type information returned will be one of the below integer constants defined in the xprs.h header file. The function will return an id number of 0 and a type value of XPRS_TYPE_NOTDEFINED if the name is not recognized as an attribute name. Note that this will occur if the name is a control name and not an attribute name. (Inherited from XPRSprob)
	GetBasis	Returns the current basis into the user's data arrays. (Inherited from XPRSprob)
	GetBasisVal	Returns the current basis status for a specific column or row. (Inherited from XPRSprob)
	GetCallbackDual(Inequality)	Get the dual associated with the current callback for a single row.
	GetCallbackDual(Int32)	Convenience wrapper for bool(out GetCallbackDuals, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackDual(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackDuals, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackDuals	Convenience wrapper for bool(out GetCallbackDuals, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackDuals(Boolean)	Convenience wrapper for GetCallbackDuals(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackDuals(IEnumerableInequality)	Get the duals associated with the current callback for a collection of rows. The values in the returned array are in 1-to-1 correspondence with the row in row.
	GetCallbackDuals(Int32, Int32)	Convenience wrapper for bool(out GetCallbackDuals, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackDuals(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackDuals, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackDuals(Boolean, Double, Int32, Int32)	Returns the dual values from the solution associated with the current callback. (Inherited from XPRSprob)
	GetCallbackPresolveDual(Int32)	Convenience wrapper for bool(out GetCallbackPresolveDuals, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveDual(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackPresolveDuals, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveDuals	Convenience wrapper for bool(out GetCallbackPresolveDuals, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveDuals(Boolean)	Convenience wrapper for GetCallbackPresolveDuals(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveDuals(Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveDuals, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveDuals(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveDuals, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveDuals(Boolean, Double, Int32, Int32)	Returns the dual values from the solution to the presolved problem associated with the current callback. (Inherited from XPRSprob)
	GetCallbackPresolveRedCost(Int32)	Convenience wrapper for bool(out GetCallbackPresolveRedCosts, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveRedCost(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackPresolveRedCosts, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveRedCosts	Convenience wrapper for bool(out GetCallbackPresolveRedCosts, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveRedCosts(Boolean)	Convenience wrapper for GetCallbackPresolveRedCosts(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveRedCosts(Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveRedCosts, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveRedCosts(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveRedCosts, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveRedCosts(Boolean, Double, Int32, Int32)	Returns the reduced costs from the solution to the presolved problem associated with the current callback. (Inherited from XPRSprob)
	GetCallbackPresolveSlack(Int32)	Convenience wrapper for bool(out GetCallbackPresolveSlacks, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveSlack(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackPresolveSlacks, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveSlacks	Convenience wrapper for bool(out GetCallbackPresolveSlacks, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveSlacks(Boolean)	Convenience wrapper for GetCallbackPresolveSlacks(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveSlacks(Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveSlacks, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveSlacks(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveSlacks, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveSlacks(Boolean, Double, Int32, Int32)	Returns the slack values from the solution to the presolved problem associated with the current callback. (Inherited from XPRSprob)
	GetCallbackPresolveSolution	Convenience wrapper for bool(out GetCallbackPresolveSolution, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveSolution(Boolean)	Convenience wrapper for GetCallbackPresolveSolution(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackPresolveSolution(Int32)	Convenience wrapper for bool(out GetCallbackPresolveSolution, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveSolution(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackPresolveSolution, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackPresolveSolution(Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveSolution, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveSolution(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackPresolveSolution, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackPresolveSolution(Boolean, Double, Int32, Int32)	Returns the solution to the presolved problem associated with the current callback. (Inherited from XPRSprob)
	GetCallbackRedCost(Int32)	Convenience wrapper for bool(out GetCallbackRedCosts, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackRedCost(Variable)	Get the reduced cost associated with the current callbackfor a single variable.
	GetCallbackRedCost(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackRedCosts, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackRedCosts	Convenience wrapper for bool(out GetCallbackRedCosts, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackRedCosts(Boolean)	Convenience wrapper for GetCallbackRedCosts(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackRedCosts(IEnumerableVariable)	Get the reduced costs associated with the current callback for a collection of variables. The values in the returned array are in 1-to-1 correspondence with the variables in vars.
	GetCallbackRedCosts(Int32, Int32)	Convenience wrapper for bool(out GetCallbackRedCosts, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackRedCosts(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackRedCosts, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackRedCosts(Boolean, Double, Int32, Int32)	Returns the reduced costs from the solution associated with the current callback. (Inherited from XPRSprob)
	GetCallbackSlack(Inequality)	Get the slack associated with the current callback for a single row.
	GetCallbackSlack(Int32)	Convenience wrapper for bool(out GetCallbackSlacks, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackSlack(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackSlacks, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackSlacks	Convenience wrapper for bool(out GetCallbackSlacks, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackSlacks(Boolean)	Convenience wrapper for GetCallbackSlacks(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackSlacks(IEnumerableInequality)	Get the slacks associated with the current callback for a collection of rows. The values in the returned array are in 1-to-1 correspondence with the rows in rows.
	GetCallbackSlacks(Int32, Int32)	Convenience wrapper for bool(out GetCallbackSlacks, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackSlacks(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackSlacks, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackSlacks(Boolean, Double, Int32, Int32)	Returns the slack values from the solution associated with the current callback. (Inherited from XPRSprob)
	GetCallbackSolution	Convenience wrapper for bool(out GetCallbackSolution, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackSolution(Boolean)	Convenience wrapper for GetCallbackSolution(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetCallbackSolution(IEnumerableVariable)	Get the solution associated with the current callback for a collection of variables. The values in the returned array are in 1-to-1 correspondence with the variables in vars.
	GetCallbackSolution(Int32)	Convenience wrapper for bool(out GetCallbackSolution, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackSolution(Variable)	Get the solution associated with the current callback for a single variable.
	GetCallbackSolution(Boolean, Int32)	Convenience wrapper for bool(out GetCallbackSolution, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetCallbackSolution(Int32, Int32)	Convenience wrapper for bool(out GetCallbackSolution, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackSolution(Boolean, Int32, Int32)	Convenience wrapper for bool(out GetCallbackSolution, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetCallbackSolution(Boolean, Double, Int32, Int32)	Returns the primal values from the solution associated with the current callback. (Inherited from XPRSprob)
	GetCoef(Inequality, Variable)	Query a single coefficient from the linear matrix. Retrieves the coefficient of variable in row in the linear matrix. Note that the coefficient will be 0 (zero) in case the variable has no coefficient in that row.
	GetCoef(Int32, Int32)	Convenience wrapper for GetCoef(int,int,double) that returns the output argument. (Inherited from XPRSprob)
	GetCoef(Int32, Int32, Double)	Returns a single coefficient in the constraint matrix. (Inherited from XPRSprob)
	GetCols(Int32, Int32)	Get range of columns. (Inherited from XPRSprob)
	GetCols(Int32, Int32, Double, Int32, Int32, Int32)	Returns the nonzeros in the constraint matrix for the columns in a given range. (Inherited from XPRSprob)
	GetCols(Int64, Int32, Double, Int64, Int32, Int32)	Returns the nonzeros in the constraint matrix for the columns in a given range. (Inherited from XPRSprob)
	GetCols(Int32, Int32, Double, Int32, Int32, Int32, Int32)	Returns the nonzeros in the constraint matrix for the columns in a given range. (Inherited from XPRSprob)
	GetCols(Int64, Int32, Double, Int64, Int64, Int32, Int32)	Returns the nonzeros in the constraint matrix for the columns in a given range. (Inherited from XPRSprob)
	GetColType(Int32)	Convenience wrapper for GetColType(char[], int, int). (Inherited from XPRSprob)
	GetColType(Int32, Int32)	Convenience wrapper for GetColType(char[], int, int). (Inherited from XPRSprob)
	GetColType(Char, Int32, Int32)	Returns the column types for the columns in a given range. (Inherited from XPRSprob)
	GetColumnName	Get a column name. (Inherited from XPRSprob)
	GetColumnNames	Get names of columns. (Inherited from XPRSprob)
	GetControlInfo	Accesses the id number and the type information of a control given its name. A control name may be for example XPRS_PRESOLVE. Names are case-insensitive and may or may not have the XPRS_ prefix. The id number is the constant used to identify the control for calls to functions such as getIntControl. The function will return an id number of 0 and a type value of XPRS_TYPE_NOTDEFINED if the name is not recognized as a control name. Note that this will occur if the name is an attribute name and not a control name. (Inherited from XPRSprob)
	GetCPCutList(Int32, Cut, Double)	Returns a list of cut indices from the cut pool. (Inherited from XPRSprob)
	GetCPCutList(Int32, Int32, Double, Int32, Cut, Double)	Returns a list of cut indices from the cut pool. (Inherited from XPRSprob)
	GetCPCutList(Int32, Int32, Double, Int32, Int32, Cut, Double)	Returns a list of cut indices from the cut pool. (Inherited from XPRSprob)
	GetCPCuts(Cut, Int32, Int32, Int32, Char, Int32, Int32, Double, Double)	Returns cuts from the cut pool. A list of cut pointers in the array rowind must be passed to the routine. The columns and elements of the cut will be returned in the regions pointed to by the colind and cutcoef parameters. The columns and elements will be stored contiguously and the starting point of each cut will be returned in the region pointed to by the start parameter. (Inherited from XPRSprob)
	GetCPCuts(Cut, Int32, Int64, Int32, Char, Int64, Int32, Double, Double)	Returns cuts from the cut pool. A list of cut pointers in the array rowind must be passed to the routine. The columns and elements of the cut will be returned in the regions pointed to by the colind and cutcoef parameters. The columns and elements will be stored contiguously and the starting point of each cut will be returned in the region pointed to by the start parameter. (Inherited from XPRSprob)
	GetCutList(Int32, Cut)	Retrieves a list of cut pointers for the cuts active at the current node. (Inherited from XPRSprob)
	GetCutList(Int32, Int32, Int32, Cut)	Retrieves a list of cut pointers for the cuts active at the current node. (Inherited from XPRSprob)
	GetCutList(Int32, Int32, Int32, Int32, Cut)	Retrieves a list of cut pointers for the cuts active at the current node. (Inherited from XPRSprob)
	GetCutMap	Used to return in which rows a list of cuts are currently loaded into the Optimizer. This is useful for example to retrieve the duals associated with active cuts. (Inherited from XPRSprob)
	GetCutSlack(Cut)	Convenience wrapper for GetCutSlack(Cut,double) that returns the output argument. (Inherited from XPRSprob)
	GetCutSlack(Cut, Double)	Used to calculate the slack value of a cut with respect to the current LP relaxation solution. The slack is calculated from the cut itself, and might be requested for any cut (even if it is not currently loaded into the problem). (Inherited from XPRSprob)
	GetDblAttrib(Int32)	Convenience wrapper for GetDblAttrib(int,double) that returns the output argument. (Inherited from XPRSprob)
	GetDblAttrib(Int32, Double)	Enables users to retrieve the values of various double problem attributes. Problem attributes are set during loading and optimization of a problem. (Inherited from XPRSprob)
	GetDblControl(Int32)	Convenience wrapper for GetDblControl(int,double) that returns the output argument. (Inherited from XPRSprob)
	GetDblControl(Int32, Double)	Retrieves the value of a given double control parameter. (Inherited from XPRSprob)
	GetDirs	Used to return the directives that have been loaded into a matrix. Priorities, forced branching directions and pseudo costs can be returned. If called after presolve, getDirs will get the directives for the presolved problem. (Inherited from XPRSprob)
	GetDirs(Int32, Int32, Char, Double, Double)	Used to return the directives that have been loaded into a matrix. Priorities, forced branching directions and pseudo costs can be returned. If called after presolve, getDirs will get the directives for the presolved problem. (Inherited from XPRSprob)
	GetDirs(Int32, Int32, Int32, Char, Double, Double)	Used to return the directives that have been loaded into a matrix. Priorities, forced branching directions and pseudo costs can be returned. If called after presolve, getDirs will get the directives for the presolved problem. (Inherited from XPRSprob)
	GetDiscreteCols	Get information about MIP entities. (Inherited from XPRSprob)
	GetDual(Inequality)	Get the dual for a single row.
	GetDual(Int32)	Convenience wrapper for int(out GetDuals, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetDual(Int32, Int32)	Convenience wrapper for int(out GetDuals, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetDualRay	Retrieves a dual ray (dual unbounded direction) for the current problem, if the problem is found to be infeasible. (Inherited from XPRSprob)
	GetDuals	Convenience wrapper for int(out GetDuals, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetDuals(IEnumerableInequality)	Get the duals for a collection of rows. The values in the returned array are in 1-to-1 correspondence with the row in row.
	GetDuals(Int32)	Convenience wrapper for GetDuals(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetDuals(Int32, Int32)	Convenience wrapper for int(out GetDuals, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetDuals(Int32, Int32, Int32)	Convenience wrapper for int(out GetDuals, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetDuals(Int32, Double, Int32, Int32)	Returns the dual values from the incumbent solution during or after optimization of a continuous problem with optimize, lpOptimize or nlpOptimize. (Inherited from XPRSprob)
	GetGenCons(Int32, Int32)	Query a range of general constraints. (Inherited from XPRSprob)
	GetGenCons(GenConsType, Int32, Int32, Int32, Int32, Int32, Int32, Double, Int32, Int32, Int32, Int32)	Returns the general constraints y = f(x1, ..., xn, c1, ..., cm) in a given range. (Inherited from XPRSprob)
	GetGenCons(GenConsType, Int32, Int64, Int32, Int64, Int64, Int64, Double, Int64, Int64, Int32, Int32)	Returns the general constraints y = f(x1, ..., xn, c1, ..., cm) in a given range. (Inherited from XPRSprob)
	GetGenConsName	Get a general constraint name. (Inherited from XPRSprob)
	GetGenConsNames	Get names of general constraints. (Inherited from XPRSprob)
	GetGeneralConstraints	Get all the general constraints currently defined in this problem.
	GetGlobal	(Inherited from XPRSprob) Obsolete
	GetHashCode	(Inherited from XPRSobject)
	GetIIS	Get the specified IIS.
	GetIISData(Int32)	Get information about an IIS. (Inherited from XPRSprob)
	GetIISData(Int32, Int32, Int32, Int32, Int32, Char, Char, Double, Double, Char, Char)	Returns information for an Irreducible Infeasible Set: size, variables and constraints (row and column vectors), and conflicting sides of the variables. For pure linear problems there is also information on duals, reduced costs and isolations. (Inherited from XPRSprob)
	GetIndex(Int32, String)	Convenience wrapper for GetIndex(int,string,int) that returns the output argument. (Inherited from XPRSprob)
	GetIndex(Int32, String, Int32)	Returns the index for a specified row or column name. (Inherited from XPRSprob)
	GetIndicator(Inequality)	Get indicator information for a single row.
	GetIndicator(Int32)	Get indicator information for a single row. (Inherited from XPRSprob)
	GetIndicators(Int32, Int32)	Get indicator information for a range of rows. Returns indicator information for the rows in [first, last] that actually are indicator rows. No data is returned for rows in this range that are not indicator rows. (Inherited from XPRSprob)
	GetIndicators(Int32, Int32, Int32, Int32)	Returns the indicator constraint condition (indicator variable and complement flag) associated to the rows in a given range. (Inherited from XPRSprob)
	GetInequalities	Get all the inequalities currently defined in this problem.
	GetInequalityLinear(Inequality)	Get the linear part of the left-hand side of a row. Obsolete
	GetInequalityLinear(Inequality, FuncLinExpression)	Get the linear part of the left-hand side of a row. The function adds the linear part of row to the expression provided by expression. If expression is null then the function allocates a new Optimizer.Objects.LinTermList for it. If the function allocates a new Optimizer.Objects.LinTermList then it also returns that new object. In that case the list is guaranteed to not have any duplicates.
	GetInfeas	Returns a list of infeasible primal and dual variables. (Inherited from XPRSprob)
	GetIntAttrib(Int32)	Convenience wrapper for GetIntAttrib(int,int) that returns the output argument. (Inherited from XPRSprob)
	GetIntAttrib(Int32, Int32)	Enables users to recover the values of various integer problem attributes. Problem attributes are set during loading and optimization of a problem. (Inherited from XPRSprob)
	GetIntControl(Int32)	Convenience wrapper for GetIntControl(int,int) that returns the output argument. (Inherited from XPRSprob)
	GetIntControl(Int32, Int32)	Enables users to recover the values of various integer control parameters (Inherited from XPRSprob)
	GetLastBarSol	Get a solution. (Inherited from XPRSprob)
	GetLastBarSol(Double, Double, Double, Double, Int32)	Used to obtain the last barrier solution values following optimization that used the barrier solver. (Inherited from XPRSprob)
	GetLastBarSolDjs	Get the djs values of a solution. (Inherited from XPRSprob)
	GetLastBarSolDuals	Get the duals values of a solution. (Inherited from XPRSprob)
	GetLastBarSolSlack	Get the slack values of a solution. (Inherited from XPRSprob)
	GetLastBarSolX	Get the x values of a solution. (Inherited from XPRSprob)
	GetLastError	Returns the error message corresponding to the last error encountered by a library function. (Inherited from XPRSprob)
	GetLastError(String)	Returns the error message corresponding to the last error encountered by a library function. (Inherited from XPRSprob)
	GetLB(Int32)	Convenience wrapper for GetLB(double[], int, int). (Inherited from XPRSprob)
	GetLB(Int32, Int32)	Convenience wrapper for GetLB(double[], int, int). (Inherited from XPRSprob)
	GetLB(Double, Int32, Int32)	Returns the lower bounds for the columns in a given range. (Inherited from XPRSprob)
	GetLhsExpression	Get the left-hand side of a row as an expression.
	GetLongAttrib(Int32)	Convenience wrapper for GetLongAttrib(int,long) that returns the output argument. (Inherited from XPRSprob)
	GetLongAttrib(Int32, Int64)	Enables users to recover the values of various integer problem attributes. Problem attributes are set during loading and optimization of a problem. (Inherited from XPRSprob)
	GetLongControl(Int32)	Convenience wrapper for GetLongControl(int,long) that returns the output argument. (Inherited from XPRSprob)
	GetLongControl(Int32, Int64)	Enables users to recover the values of various integer control parameters (Inherited from XPRSprob)
	GetLpSol	Get a solution. (Inherited from XPRSprob)
	GetLpSol(Double)	Used to obtain the LP solution values following optimization. (Inherited from XPRSprob)
	GetLpSol(Double, Double, Double, Double)	Used to obtain the LP solution values following optimization. (Inherited from XPRSprob)
	GetLpSolDjs	Get the djs values of a solution. (Inherited from XPRSprob)
	GetLpSolDuals	Get the duals values of a solution. (Inherited from XPRSprob)
	GetLpSolSlack	Get the slack values of a solution. (Inherited from XPRSprob)
	GetLpSolVal	Used to obtain a single LP solution value following optimization. (Inherited from XPRSprob) Obsolete
	GetLpSolX	Get the x values of a solution. (Inherited from XPRSprob)
	GetMessageStatus(Int32)	Convenience wrapper for GetMessageStatus(int,int) that returns the output argument. (Inherited from XPRSprob)
	GetMessageStatus(Int32, Int32)	Retrieves the current suppression status of a message. (Inherited from XPRSprob)
	GetMIPEntities	Get information about MIP entities and SOS. (Inherited from XPRSprob)
	GetMIPEntities(Char, Int32, Double)	Retrieves integr and entity information about a problem. It must be called before mipOptimize if the presolve option is used. (Inherited from XPRSprob)
	GetMIPEntities(Int32, Char, Int32, Double)	Retrieves integr and entity information about a problem. It must be called before mipOptimize if the presolve option is used. (Inherited from XPRSprob)
	GetMIPEntities(Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	Retrieves integr and entity information about a problem. It must be called before mipOptimize if the presolve option is used. (Inherited from XPRSprob)
	GetMIPEntities(Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	Retrieves integr and entity information about a problem. It must be called before mipOptimize if the presolve option is used. (Inherited from XPRSprob)
	GetMipSol	Get a solution. (Inherited from XPRSprob) Obsolete
	GetMipSol(Double)	Used to obtain the solution values of the last MIP solution that was found. (Inherited from XPRSprob) Obsolete
	GetMipSol(Double, Double)	Used to obtain the solution values of the last MIP solution that was found. (Inherited from XPRSprob) Obsolete
	GetMipSolSlack	Get the slack values of a solution. (Inherited from XPRSprob) Obsolete
	GetMipSolVal	Used to obtain a single solution value of the last MIP solution that was found. (Inherited from XPRSprob) Obsolete
	GetMipSolX	Get the x values of a solution. (Inherited from XPRSprob) Obsolete
	GetMQObj(Int32, Int32)	Get quadratic objective matrix for range of columns. (Inherited from XPRSprob)
	GetMQObj(Int32, Int32, Double, Int32, Int32, Int32)	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range. To achieve maximum efficiency, getMQObj returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetMQObj(Int64, Int32, Double, Int64, Int32, Int32)	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range. To achieve maximum efficiency, getMQObj returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetMQObj(Int32, Int32, Double, Int32, Int32, Int32, Int32)	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range. To achieve maximum efficiency, getMQObj returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetMQObj(Int64, Int32, Double, Int64, Int64, Int32, Int32)	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range. To achieve maximum efficiency, getMQObj returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetName(Int32, Int32)	Get the name of a single element. (Inherited from XPRSprob)
	GetName(Namespaces, Int32)	Get the name of a single element. (Inherited from XPRSprob)
	GetNameList(Int32, Int32, Int32)	Get the given row, column or set names for the given range. (Inherited from XPRSprob)
	GetNameList(Int32, String, Int32, Int32)	Get the given row, column or set names for the given range. (Inherited from XPRSprob)
	GetNameListObject	(Inherited from XPRSprob)
	GetNames(Int32, Int32, Int32)	Get names. Retrieves names for a certain type of objects. (Inherited from XPRSprob)
	GetNames(Namespaces, Int32, Int32)	Get names. Retrieves names for a certain type of objects. (Inherited from XPRSprob)
	GetNames(Int32, String, Int32, Int32)	Get the given row, column or set names for the given range. (Inherited from XPRSprob)
	GetNames(Namespaces, String, Int32, Int32)	Get names. Retrieves names for a certain type of objects. (Inherited from XPRSprob)
	GetNlpsol	Obtain the current SLP solution values (Inherited from XPRSprob) Obsolete
	GetObj(Int32)	Convenience wrapper for GetObj(double[], int, int). (Inherited from XPRSprob)
	GetObj(Variable)	Query an objective function coefficient. Retrieves the linear objective coefficient for the specified variable from the first/primary objective.
	GetObj(Int32, Int32)	Convenience wrapper for GetObj(double[], int, int). (Inherited from XPRSprob)
	GetObj(Double, Int32, Int32)	Returns the objective function coefficients for the columns in a given range. (Inherited from XPRSprob)
	GetObjDblAttrib(Int32, Int32)	Convenience wrapper for GetObjDblAttrib(int,int,double) that returns the output argument. (Inherited from XPRSprob)
	GetObjDblAttrib(Int32, Int32, Double)	Retrieves the value of a given double attribute associated with a multi-objective solve. When solving a multi-objective problem, several objectives might be optimized in sequence. After each solve, the problem attributes are captured so that they can be queried afterwards. (Inherited from XPRSprob)
	GetObjDblControl(Int32, ObjControl)	Convenience wrapper for GetObjDblControl(int,ObjControl,double) that returns the output argument. (Inherited from XPRSprob)
	GetObjDblControl(Int32, ObjControl, Double)	Retrieves the value of a given double control parameter associated with an objective function. These parameters control how the objective is treated during multi-objective optimization. (Inherited from XPRSprob)
	GetObjectTypeName	Function to access the type name of an object referenced using the generic Optimizer object pointer XPRSobject. (Inherited from XPRSobject)
	GetObjIntAttrib(Int32, Int32)	Convenience wrapper for GetObjIntAttrib(int,int,int) that returns the output argument. (Inherited from XPRSprob)
	GetObjIntAttrib(Int32, Int32, Int32)	Retrieves the value of a given integer attribute associated with a multi-objective solve. When solving a multi-objective problem, several objectives might be optimized in sequence. After each solve, the problem attributes are captured so that they can be queried afterwards. (Inherited from XPRSprob)
	GetObjIntAttrib(Int32, Int32, Int64)	Retrieves the value of a given integer attribute associated with a multi-objective solve. When solving a multi-objective problem, several objectives might be optimized in sequence. After each solve, the problem attributes are captured so that they can be queried afterwards. (Inherited from XPRSprob)
	GetObjIntControl(Int32, ObjControl)	Convenience wrapper for GetObjIntControl(int,ObjControl,int) that returns the output argument. (Inherited from XPRSprob)
	GetObjIntControl(Int32, ObjControl, Int32)	Retrieves the value of a given integer control parameter associated with an objective. These parameters control how the objective is treated during multi-objective optimization. (Inherited from XPRSprob)
	GetObjLongAttrib	Convenience wrapper for GetObjIntAttrib(int,int,long) that returns the output argument. (Inherited from XPRSprob)
	GetObjN(Int32, Variable)	Query an objective function coefficient. Retrieves the linear objective coefficient for the specified variable from objective objidx.
	GetObjN(Int32, Double, Int32, Int32)	For a given objective function, returns the objective coefficients for the columns in a given range. (Inherited from XPRSprob)
	GetPivotOrder	Returns the pivot order of the basic variables. (Inherited from XPRSprob)
	GetPivots	Returns a list of potential leaving variables if a specified variable enters the basis. (Inherited from XPRSprob)
	GetPresolveBasis	Returns the current basis from memory into the user's data areas. If the problem is presolved, the presolved basis will be returned. Otherwise the original basis will be returned. (Inherited from XPRSprob)
	GetPresolveMap	Returns the mapping of the row and column numbers from the presolve problem back to the original problem. (Inherited from XPRSprob)
	GetPresolveSol	Get a solution. (Inherited from XPRSprob)
	GetPresolveSol(Double)	Returns the solution for the presolved problem from memory. (Inherited from XPRSprob)
	GetPresolveSol(Double, Double, Double, Double)	Returns the solution for the presolved problem from memory. (Inherited from XPRSprob)
	GetPresolveSolDjs	Get the djs values of a solution. (Inherited from XPRSprob)
	GetPresolveSolDuals	Get the duals values of a solution. (Inherited from XPRSprob)
	GetPresolveSolSlack	Get the slack values of a solution. (Inherited from XPRSprob)
	GetPresolveSolX	Get the x values of a solution. (Inherited from XPRSprob)
	GetPrimalRay	Retrieves a primal ray (primal unbounded direction) for the current problem, if the problem is found to be unbounded. (Inherited from XPRSprob)
	GetProbName	Returns the current problem name. (Inherited from XPRSprob)
	GetProbName(String)	Returns the current problem name. (Inherited from XPRSprob)
	GetPwlCons(Int32, Int32, Int32, Double, Double, Int32, Int32, Int32, Int32)	Returns the piecewise linear constraints y = f(x) in a given range. (Inherited from XPRSprob)
	GetPwlCons(Int32, Int32, Int64, Double, Double, Int64, Int64, Int32, Int32)	Returns the piecewise linear constraints y = f(x) in a given range. (Inherited from XPRSprob)
	GetPWLName	Get a PWL constraint name. (Inherited from XPRSprob)
	GetPWLNames	Get names of PWL constraints. (Inherited from XPRSprob)
	GetPWLs	Get all piecewise linear constraints currently defined in this problem.
	GetQObj(Int32, Int32)	Convenience wrapper for GetQObj(int,int,double) that returns the output argument. (Inherited from XPRSprob)
	GetQObj(Int32, Int32, Double)	Returns a single quadratic objective function coefficient corresponding to the variable pair (objqcol1, objqcol2) of the Hessian matrix. (Inherited from XPRSprob)
	GetQRowCoeff(Int32, Int32, Int32)	Convenience wrapper for GetQRowCoeff(int,int,int,double) that returns the output argument. (Inherited from XPRSprob)
	GetQRowCoeff(Int32, Int32, Int32, Double)	Returns a single quadratic constraint coefficient corresponding to the variable pair (rowqcol1, rowqcol2) of the Hessian of a given constraint. (Inherited from XPRSprob)
	GetQRowQMatrix(Int32, Int32, Int32, Double, Int32, Int32, Int32)	Returns the nonzeros in a quadratic constraint coefficients matrix for the columns in a given range. To achieve maximum efficiency, getQRowQMatrix returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetQRowQMatrix(Int32, Int32, Int32, Double, Int32, Int32, Int32, Int32)	Returns the nonzeros in a quadratic constraint coefficients matrix for the columns in a given range. To achieve maximum efficiency, getQRowQMatrix returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetQRowQMatrixTriplets(Int32, Int32, Int32, Double)	Returns the nonzeros in a quadratic constraint coefficients matrix as triplets (index pairs with coefficients). To achieve maximum efficiency, getQRowQMatrixTriplets returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetQRowQMatrixTriplets(Int32, Int32, Int32, Int32, Double)	Returns the nonzeros in a quadratic constraint coefficients matrix as triplets (index pairs with coefficients). To achieve maximum efficiency, getQRowQMatrixTriplets returns the lower triangular part of this matrix only. (Inherited from XPRSprob)
	GetQRows	Returns the list indices of the rows that have quadratic coefficients. (Inherited from XPRSprob)
	GetQRows(Int32)	Returns the list indices of the rows that have quadratic coefficients. (Inherited from XPRSprob)
	GetQRows(Int32, Int32)	Returns the list indices of the rows that have quadratic coefficients. (Inherited from XPRSprob)
	GetRedCost(Int32)	Convenience wrapper for int(out GetRedCosts, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetRedCost(Variable)	Get the reduced cost for a single variable.
	GetRedCost(Int32, Int32)	Convenience wrapper for int(out GetRedCosts, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetRedCosts	Convenience wrapper for int(out GetRedCosts, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetRedCosts(IEnumerableVariable)	Get the reduced costs for a collection of variables. The values in the returned array are in 1-to-1 correspondence with the variables in vars.
	GetRedCosts(Int32)	Convenience wrapper for GetRedCosts(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetRedCosts(Int32, Int32)	Convenience wrapper for int(out GetRedCosts, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetRedCosts(Int32, Int32, Int32)	Convenience wrapper for int(out GetRedCosts, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetRedCosts(Int32, Double, Int32, Int32)	Returns the reduced costs from the incumbent solution during or after optimization of a continuous problem with optimize, lpOptimize or nlpOptimize. (Inherited from XPRSprob)
	GetRHS(Int32)	Convenience wrapper for GetRHS(double[], int, int). (Inherited from XPRSprob)
	GetRHS(Int32, Int32)	Convenience wrapper for GetRHS(double[], int, int). (Inherited from XPRSprob)
	GetRHS(Double, Int32, Int32)	Returns the right hand side elements for the rows in a given range. (Inherited from XPRSprob)
	GetRHSRange(Int32)	Convenience wrapper for GetRHSRange(double[], int, int). (Inherited from XPRSprob)
	GetRHSRange(Int32, Int32)	Convenience wrapper for GetRHSRange(double[], int, int). (Inherited from XPRSprob)
	GetRHSRange(Double, Int32, Int32)	Returns the right hand side range values for the rows in a given range. (Inherited from XPRSprob)
	GetRowFlags(Int32)	Convenience wrapper for GetRowFlags(int[], int, int). (Inherited from XPRSprob)
	GetRowFlags(Int32, Int32)	Convenience wrapper for GetRowFlags(int[], int, int). (Inherited from XPRSprob)
	GetRowFlags(Int32, Int32, Int32)	Retrieve if a range of rows have been set up as special rows. (Inherited from XPRSprob)
	GetRowName	Get a row name. (Inherited from XPRSprob)
	GetRowNames	Get names of rows. (Inherited from XPRSprob)
	GetRows(Int32, Int32)	Get range of rows. (Inherited from XPRSprob)
	GetRows(Int32, Int32, Double, Int32, Int32, Int32)	Returns the nonzeros in the constraint matrix for the rows in a given range. (Inherited from XPRSprob)
	GetRows(Int64, Int32, Double, Int64, Int32, Int32)	Returns the nonzeros in the constraint matrix for the rows in a given range. (Inherited from XPRSprob)
	GetRows(Int32, Int32, Double, Int32, Int32, Int32, Int32)	Returns the nonzeros in the constraint matrix for the rows in a given range. (Inherited from XPRSprob)
	GetRows(Int64, Int32, Double, Int64, Int64, Int32, Int32)	Returns the nonzeros in the constraint matrix for the rows in a given range. (Inherited from XPRSprob)
	GetRowType(Int32)	Convenience wrapper for GetRowType(char[], int, int). (Inherited from XPRSprob)
	GetRowType(Int32, Int32)	Convenience wrapper for GetRowType(char[], int, int). (Inherited from XPRSprob)
	GetRowType(Char, Int32, Int32)	Returns the row types for the rows in a given range. (Inherited from XPRSprob)
	GetScale	Returns the the current scaling of the matrix. (Inherited from XPRSprob)
	GetScaledInfeas	Returns a list of scaled infeasible primal and dual variables for the original problem. If the problem is currently presolved, it is postsolved before the function returns. (Inherited from XPRSprob)
	GetSetDefinitions	Get information about SOS. (Inherited from XPRSprob)
	GetSetName	Get a Set (SOS) name. (Inherited from XPRSprob)
	GetSetNames	Get names of Sets (SOS). (Inherited from XPRSprob)
	GetSets	Get information about SOS. (Inherited from XPRSprob) Obsolete
	GetSlack(Inequality)	Get the current slack for a single row.
	GetSlack(Int32)	Convenience wrapper for int(out GetSlacks, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetSlack(Int32, Int32)	Convenience wrapper for int(out GetSlacks, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetSlacks	Convenience wrapper for int(out GetSlacks, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetSlacks(IEnumerableInequality)	Get the current slacks for a collection of rows. The values in the returned array are in 1-to-1 correspondence with the rows in rows.
	GetSlacks(Int32)	Convenience wrapper for GetSlacks(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetSlacks(Int32, Int32)	Convenience wrapper for int(out GetSlacks, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetSlacks(Int32, Int32, Int32)	Convenience wrapper for int(out GetSlacks, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetSlacks(Int32, Double, Int32, Int32)	Returns the slack values from the incumbent solution during or after optimization with optimize, mipOptimize, lpOptimize or nlpOptimize. (Inherited from XPRSprob)
	GetSolDjs	Get the djs values of a solution. (Inherited from XPRSprob) Obsolete
	GetSolDuals	Get the duals values of a solution. (Inherited from XPRSprob) Obsolete
	GetSolSlack	Get the slack values of a solution. (Inherited from XPRSprob) Obsolete
	GetSolution	Convenience wrapper for int(out GetSolution, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetSolution(IEnumerableVariable)	Get the current solution for a collection of variables. The values in the returned array are in 1-to-1 correspondence with the variables in vars.
	GetSolution(Int32)	Convenience wrapper for int(out GetSolution, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetSolution(Int32)	Convenience wrapper for GetSolution(IntHolder, double[], int, int) that allocates the output array and queries all elements. (Inherited from XPRSprob)
	GetSolution(Variable)	Get the current solution for a single variable.
	GetSolution(Int32, Int32)	Convenience wrapper for int(out GetSolution, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetSolution(Int32, Int32)	Convenience wrapper for int(out GetSolution, double[], int, int) that queries only a single value. (Inherited from XPRSprob)
	GetSolution(Int32, Int32, Int32)	Convenience wrapper for int(out GetSolution, double[], int, int) that allocates the output array. (Inherited from XPRSprob)
	GetSolution(Int32, Double, Int32, Int32)	Returns the incumbent solution during or after optimization with optimize, mipOptimize, lpOptimize or nlpOptimize. (Inherited from XPRSprob)
	GetSolX	Get the x values of a solution. (Inherited from XPRSprob) Obsolete
	GetSOSs	Get all the special ordered set constraints currently defined in this problem.
	GetStrAttrib(Int32)	Get the current value of a string attribute (Inherited from XPRSprob)
	GetStrAttrib(Int32, String)	Get the current value of a string attribute (Inherited from XPRSprob)
	GetStrControl(Int32)	Get the current value of a string control (Inherited from XPRSprob)
	GetStrControl(Int32, String)	Get the current value of a string control (Inherited from XPRSprob)
	GetStringControl	Returns the value of a given string control parameters. (Inherited from XPRSprob)
	GetStrStringAttrib	Enables users to recover the values of various string problem attributes. Problem attributes are set during loading and optimization of a problem. (Inherited from XPRSprob)
	GetType	Gets the Type of the current instance. (Inherited from Object)
	GetUB(Int32)	Convenience wrapper for GetUB(double[], int, int). (Inherited from XPRSprob)
	GetUB(Int32, Int32)	Convenience wrapper for GetUB(double[], int, int). (Inherited from XPRSprob)
	GetUB(Double, Int32, Int32)	Returns the upper bounds for the columns in a given range. (Inherited from XPRSprob)
	GetUnbVec	Convenience wrapper for GetUnbVec(int) that returns the output argument. (Inherited from XPRSprob)
	GetUnbVec(Int32)	Returns the index vector which causes the primal simplex or dual simplex algorithm to determine that a matrix is primal or dual unbounded respectively. (Inherited from XPRSprob)
	GetVariables	Get all the variables currently defined in this problem.
	IISAll	Performs an automated search for independent Irreducible Infeasible Sets (IIS) in an infeasible problem. (Inherited from XPRSprob)
	IISIsolations	Performs the isolation identification procedure for an Irreducible Infeasible Set (IIS). This function applies only to linear problems. (Inherited from XPRSprob)
	IISStatus	Get the IIS status. (Inherited from XPRSprob)
	IISStatus(Int32, Int32, Int32, Double, Int32)	Returns statistics on the Irreducible Infeasible Sets (IIS) found so far by firstIIS (IIS), nextIIS (IIS-n) or iISAll (IIS-a). (Inherited from XPRSprob)
	InequalitiesForIndices	Map a range of inequality indices to inequality objects.
	InequalityForIndex	Map an inequality index to an inequality object.
	Interrupt	Interrupts the Optimizer algorithms. (Inherited from XPRSprob)
	Interrupt(StopType)	Interrupts the Optimizer algorithms. (Inherited from XPRSprob)
	IntVar	Create a new integer variable with default bounds [0, infinity]. (Inherited from XPRSprob) Obsolete
	IntVar(String)	Create a new integer variable with default bounds [0, infinity] and a specified name. (Inherited from XPRSprob) Obsolete
	IntVar(Double, Double)	Create a new integer variable with specified bounds. (Inherited from XPRSprob) Obsolete
	IntVar(Double, Double, String)	Create a new integer variable with specified bounds and name. (Inherited from XPRSprob) Obsolete
	IntVarArray(Int32, Double, Double, FuncInt32, String)	Create an array of integer variables. All the variables created by this function have the same types and bounds. (Inherited from XPRSprob) Obsolete
	IntVarArray(Int32, Double, Double, String)	Create an array of integer variables. (Inherited from XPRSprob) Obsolete
	IntVarArray(Int32, FuncInt32, Double, FuncInt32, Double, FuncInt32, String)	Create an array of integer variables. (Inherited from XPRSprob) Obsolete
	IntVarArrayT(ICollectionT, Double, Double, FuncT, String)	Create an array of integer variables. All the variables created by this function have the same types and bounds. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	IntVarArrayT(ICollectionT, FuncT, Double, FuncT, Double, FuncT, String)	Create an array of integer variables. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	IntVarMapT(ICollectionT, FuncT, Double, FuncT, Double, FuncT, String)	Create a map of integer variables. The function creates a new variable for each object in objs. It returns a hash map in which each object in objs maps to the index of the variable that was created for it. (Inherited from XPRSprob) Obsolete
	IntVarMapT(ICollectionT, FuncT, Double, FuncT, Double, FuncT, String, IDictionaryT, Int32)	Create a map of integer variables. The function creates a new variable for each object in objs. For each object o it puts the Pair (o, idx) into map where idx is the index of the variable that was created for o. (Inherited from XPRSprob) Obsolete
	IsNullVariable	Check whether a variable is the same as NULL_VARIABLE. The NULL_VARIABLE is used in certain places to indicate the absence of a variable. For example, when iterating over the linear terms of an expression, a term with a NULL_VARIABLE indicates a constant term in the expression.
	IsOriginal	Check whether this model instance is in the original state. A model is not in the original state if it is a callback problem or its problem state indicates being presolved.
	LoadBasis	Loads a basis from the user's areas. (Inherited from XPRSprob)
	LoadBranchDirs(Int32, Int32)	Convenience wrapper for LoadBranchDirs(int, int[], int[]). (Inherited from XPRSprob)
	LoadBranchDirs(Int32, Int32, Int32)	Loads directives into the current problem to specify which MIP entities the Optimizer should continue to branch on when a node solution is integer feasible. (Inherited from XPRSprob)
	LoadCuts(Int32, Cut)	Loads cuts from the cut pool into the matrix. Without calling loadCuts the cuts will remain in the cut pool but will not be active at the node. Cuts loaded at a node remain active at all descendant nodes unless they are deleted using delCuts. (Inherited from XPRSprob)
	LoadCuts(Int32, Int32)	Loads cuts from the cut pool into the matrix. Without calling loadCuts the cuts will remain in the cut pool but will not be active at the node. Cuts loaded at a node remain active at all descendant nodes unless they are deleted using delCuts. (Inherited from XPRSprob)
	LoadCuts(Int32, Int32, Int32, Cut)	Loads cuts from the cut pool into the matrix. Without calling loadCuts the cuts will remain in the cut pool but will not be active at the node. Cuts loaded at a node remain active at all descendant nodes unless they are deleted using delCuts. (Inherited from XPRSprob)
	LoadDelayedRows(Inequality)	Marks a set of rows as delayed rows.
	LoadDelayedRows(Int32, Int32)	Specifies that a set of rows in the matrix will be treated as delayed rows during a tree search. These are rows that must be satisfied for any integer solution, but will not be loaded into the active set of constraints until required. (Inherited from XPRSprob)
	LoadDirs	Loads directives into the matrix. (Inherited from XPRSprob)
	LoadGlobal(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	(Inherited from XPRSprob) Obsolete
	LoadGlobal(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	(Inherited from XPRSprob) Obsolete
	LoadLP(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double)	Enables the user to pass a matrix directly to the Optimizer, rather than reading the matrix from a file. (Inherited from XPRSprob)
	LoadLP(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double)	Enables the user to pass a matrix directly to the Optimizer, rather than reading the matrix from a file. (Inherited from XPRSprob)
	LoadLPSol(Double, Double, Double, Double)	Convenience wrapper for LoadLPSol(double[],double[],double[],double[],int) that returns the output argument. (Inherited from XPRSprob)
	LoadLPSol(Double, Double, Double, Double, Int32)	Loads an LP solution for the problem into the Optimizer. (Inherited from XPRSprob)
	LoadMIP(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	Used to load a MIP problem into the Optimizer data structures. Integer, binary, partial integer, semi-continuous and semi-continuous integer variables can be defined, together with sets of type 1 and 2. The reference row values for the set members are passed as an array rather than specifying a reference row. (Inherited from XPRSprob)
	LoadMIP(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	Used to load a MIP problem into the Optimizer data structures. Integer, binary, partial integer, semi-continuous and semi-continuous integer variables can be defined, together with sets of type 1 and 2. The reference row values for the set members are passed as an array rather than specifying a reference row. (Inherited from XPRSprob)
	LoadMipSol(Double)	Convenience wrapper for LoadMipSol(double[],int) that returns the output argument. (Inherited from XPRSprob)
	LoadMipSol(Double, Int32)	Loads a starting MIP solution for the problem into the Optimizer. (Inherited from XPRSprob)
	LoadMIQCQP(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Int32, Double, Int32, Int32, Int32, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	Used to load a mixed integer quadratic problem with quadratic constraints into the Optimizer data structure. Such a problem may have quadratic terms in its objective function as well as in its constraints. Integer, binary, partial integer, semi-continuous and semi-continuous integer variables can be defined, together with sets of type 1 and 2. The reference row values for the set members are passed as an array rather than specifying a reference row. (Inherited from XPRSprob)
	LoadMIQCQP(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int64, Int32, Int32, Double, Int32, Int32, Int64, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	Used to load a mixed integer quadratic problem with quadratic constraints into the Optimizer data structure. Such a problem may have quadratic terms in its objective function as well as in its constraints. Integer, binary, partial integer, semi-continuous and semi-continuous integer variables can be defined, together with sets of type 1 and 2. The reference row values for the set members are passed as an array rather than specifying a reference row. (Inherited from XPRSprob)
	LoadMIQP(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	Used to load a MIQP problem, hence a MIP with quadratic objective coefficients, into the Optimizer data structures. Integer, binary, partial integer, semi-continuous and semi-continuous integer variables can be defined, together with sets of type 1 and 2. The reference row values for the set members are passed as an array rather than specifying a reference row. (Inherited from XPRSprob)
	LoadMIQP(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int64, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	Used to load a MIQP problem, hence a MIP with quadratic objective coefficients, into the Optimizer data structures. Integer, binary, partial integer, semi-continuous and semi-continuous integer variables can be defined, together with sets of type 1 and 2. The reference row values for the set members are passed as an array rather than specifying a reference row. (Inherited from XPRSprob)
	LoadModelCuts(Inequality)	Marks a set of rows as model cuts.
	LoadModelCuts(Int32, Int32)	Specifies that a set of rows in the matrix will be treated as model cuts. (Inherited from XPRSprob)
	LoadPresolveBasis	Loads a presolved basis from the user's areas. (Inherited from XPRSprob)
	LoadPresolveDirs	Loads directives into the presolved matrix. (Inherited from XPRSprob)
	LoadQCQP(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Int32, Double, Int32, Int32, Int32, Int32, Int32, Double)	Used to load a quadratic problem with quadratic side constraints into the Optimizer data structure. Such a problem may have quadratic terms in its objective function as well as in its constraints. (Inherited from XPRSprob)
	LoadQCQP(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int64, Int32, Int32, Double, Int32, Int32, Int64, Int32, Int32, Double)	Used to load a quadratic problem with quadratic side constraints into the Optimizer data structure. Such a problem may have quadratic terms in its objective function as well as in its constraints. (Inherited from XPRSprob)
	LoadQCQPGlobal(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Int32, Double, Int32, Int32, Int32, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	(Inherited from XPRSprob) Obsolete
	LoadQCQPGlobal(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int64, Int32, Int32, Double, Int32, Int32, Int64, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	(Inherited from XPRSprob) Obsolete
	LoadQGlobal(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int32, Int32, Double)	(Inherited from XPRSprob) Obsolete
	LoadQGlobal(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int64, Int32, Int32, Double, Int32, Int32, Char, Int32, Double, Char, Int64, Int32, Double)	(Inherited from XPRSprob) Obsolete
	LoadQP(String, Int32, Int32, Char, Double, Double, Double, Int32, Int32, Int32, Double, Double, Double, Int32, Int32, Int32, Double)	Used to load a quadratic problem into the Optimizer data structure. Such a problem may have quadratic terms in its objective function, although not in its constraints. (Inherited from XPRSprob)
	LoadQP(String, Int32, Int32, Char, Double, Double, Double, Int64, Int32, Int32, Double, Double, Double, Int64, Int32, Int32, Double)	Used to load a quadratic problem into the Optimizer data structure. Such a problem may have quadratic terms in its objective function, although not in its constraints. (Inherited from XPRSprob)
	LoadSecureVecs	Allows the user to mark rows and columns in order to prevent the presolve removing these rows and columns from the matrix. (Inherited from XPRSprob)
	LpOptimize	This function begins a search for the optimal continuous (LP) solution. The direction of optimization is given by OBJSENSE. The status of the problem when the function completes can be checked using LPSTATUS. Any MIP entities in the problem will be ignored. (Inherited from XPRSprob)
	LpOptimize(String)	This function begins a search for the optimal continuous (LP) solution. The direction of optimization is given by OBJSENSE. The status of the problem when the function completes can be checked using LPSTATUS. Any MIP entities in the problem will be ignored. (Inherited from XPRSprob)
	MakeConstraintCreator	Create a ConstraintCreator for this problem instance.
	MakeConstraintCreator(Boolean)	Create a ConstraintCreator for this problem instance.
	Maxim	Begins a search for the optimal LP solution. (Inherited from XPRSprob) Obsolete
	Maxim(String)	Begins a search for the optimal LP solution. (Inherited from XPRSprob) Obsolete
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object)
	Minim	Begins a search for the optimal LP solution. (Inherited from XPRSprob) Obsolete
	Minim(String)	Begins a search for the optimal LP solution. (Inherited from XPRSprob) Obsolete
	MipOptimize	This function begins a tree search for the optimal MIP solution. The direction of optimization is given by OBJSENSE. The status of the problem when the function completes can be checked using MIPSTATUS. (Inherited from XPRSprob)
	MipOptimize(String)	This function begins a tree search for the optimal MIP solution. The direction of optimization is given by OBJSENSE. The status of the problem when the function completes can be checked using MIPSTATUS. (Inherited from XPRSprob)
	MsAddCustomPreset	A combined version of XSLPmsaddjob and XSLPmsaddpreset. The preset described is loaded, topped up with the specific settings supplied (Inherited from XPRSprob)
	MsAddJob	Adds a multistart job to the multistart pool (Inherited from XPRSprob)
	MsAddPreset	Loads a preset of jobs into the multistart job pool. (Inherited from XPRSprob)
	MsClear	Removes all scheduled jobs from the multistart job pool (Inherited from XPRSprob)
	NextIIS	Convenience wrapper for NextIIS(int) that returns the output argument. (Inherited from XPRSprob)
	NextIIS(Int32)	Continues the search for further Irreducible Infeasible Sets (IIS), or calls firstIIS (IIS) if no IIS has been identified yet. (Inherited from XPRSprob)
	NlpAddFormulas	Add non-linear formulas to the SLP problem. (Inherited from XPRSprob)
	NlpCalcSlacks	Calculate the slack values for the provided solution in the non-linear problem (Inherited from XPRSprob)
	NlpChgFormula	Add or replace a single matrix formula using a parsed or unparsed formula (Inherited from XPRSprob)
	NlpChgFormulaStr	Add or replace a single matrix formula using a character string for the formula. (Inherited from XPRSprob)
	NlpChgFormulaString	Add or replace a single matrix formula using a character string for the formula. (Inherited from XPRSprob) Obsolete
	NlpCurrentIV	Transfer the current solution to initial values (Inherited from XPRSprob)
	NlpDelFormulas	Delete nonlinear formulas from the current problem (Inherited from XPRSprob)
	NlpDelUserFunction	Delete a user function from the current problem (Inherited from XPRSprob)
	NlpEvaluateFormula(Int32, Int32, Double)	Convenience wrapper for NlpEvaluateFormula(int,int[],double[],double) that returns the output argument. (Inherited from XPRSprob)
	NlpEvaluateFormula(Int32, Int32, Double, Double)	Evaluate a formula using the current values of the variables (Inherited from XPRSprob)
	NlpGetFormula	Retrieve a single matrix formula as a formula split into tokens. (Inherited from XPRSprob)
	NlpGetFormulaRows	Retrieve the list of positions of the nonlinear formulas in the problem (Inherited from XPRSprob)
	NlpGetFormulaStr	Retrieve a single matrix formula in a character string. (Inherited from XPRSprob)
	NlpGetFormulaString	Retrieve a single matrix formula in a character string. (Inherited from XPRSprob) Obsolete
	NlpImportLibFunc	Imports a function from a library file to be called as a user function (Inherited from XPRSprob)
	NlpLoadFormulas	Load non-linear formulas into the SLP problem (Inherited from XPRSprob)
	NlpOptimize	Maximize or minimize an SLP problem (Inherited from XPRSprob)
	NlpPostsolveProb	Restores the problem to its pre-solve state (Inherited from XPRSprob)
	NlpPrintEvalInfo	Print a summary of any evaluation errors that may have occurred during solving a problem (Inherited from XPRSprob)
	NlpSetFunctionError	Set the function error flag for the problem (Inherited from XPRSprob)
	NlpSetInitVal(IDictionaryVariable, Double)	Set initial values of variables for a non-linear solve.
	NlpSetInitVal(Int32, Double)	Convenience wrapper for NlpSetInitVal(int, int[], double[]). (Inherited from XPRSprob)
	NlpSetInitVal(Variable, Double)	Set initial values of variables for a non-linear solve.
	NlpSetInitVal(Int32, Int32, Double)	Set the initial value of a variable (Inherited from XPRSprob)
	NlpValidate	Validate the feasibility of constraints in a converged solution (Inherited from XPRSprob)
	NlpValidateKKT	Validates the first order optimality conditions also known as the Karush-Kuhn-Tucker (KKT) conditions versus the currect solution (Inherited from XPRSprob)
	NlpValidateRow	Prints an extensive analysis on a given constraint of the SLP problem (Inherited from XPRSprob)
	NlpValidateVector	Validate the feasibility of constraints for a given solution (Inherited from XPRSprob)
	Objsa(Variable, Double, Double)	Returns upper and lower sensitivity ranges for specified objective function coefficients. If the objective coefficients are varied within these ranges the current basis remains optimal and the reduced costs remain valid.
	Objsa(Int32, Variable, Double, Double)	Returns upper and lower sensitivity ranges for specified objective function coefficients. If the objective coefficients are varied within these ranges the current basis remains optimal and the reduced costs remain valid.
	Objsa(Int32, Int32, Double, Double)	Returns upper and lower sensitivity ranges for specified objective function coefficients. If the objective coefficients are varied within these ranges the current basis remains optimal and the reduced costs remain valid. (Inherited from XPRSprob)
	Optimize	Convenience wrapper for [!:.Optimize(string , out int, out int)]. This function calls optimize with default arguments and returns the solve status. The solution status is not returned and must be queried explicitly afterwards using the corresponding attribute. See the documentation of the overloaded function for more details. (Inherited from XPRSprob)
	Optimize(String)	Convenience wrapper for [!:.Optimize(string , out int, out int)]. This function calls optimize with the specified flags and returns the solve status. The solution status is not returned and must be queried explicitly afterwards using the corresponding attribute. See the documentation of the overloaded function for more details. (Inherited from XPRSprob)
	Optimize(String, Int32, Int32)	This function begins a search for the optimal solution of the problem. The direction of optimization is given by OBJSENSE. (Inherited from XPRSprob)
	Pivot	Performs a simplex pivot by bringing variable enter into the basis and removing leave. (Inherited from XPRSprob)
	PostSolve	Postsolve the current matrix when it is in a presolved state. (Inherited from XPRSprob)
	PostSolveSol	Postsolves a primal solution formulated in the presolved space into the corresponding solution formulated in the original space. The problem itself is unchanged. (Inherited from XPRSprob)
	PresolveRow(XPRSprobRowInfo)	Presolve a row. The function transforms a row that is given in terms of the original model to a row that is given in terms of the presolved model. (Inherited from XPRSprob)
	PresolveRow(Int32, Double, Char, Double)	Presolve a row. The function transforms a row that is given in terms of the original model to a row that is given in terms of the presolved model. (Inherited from XPRSprob)
	PresolveRow(Char, Int32, Int32, Double, Double, Int32, Int32, Int32, Double, Double, Int32)	Presolves a row formulated in terms of the original variables such that it can be added to a presolved matrix. (Inherited from XPRSprob)
	PrintIIS	Prints a given Irreducible Infeasible Set (IIS) in the log. If 0 is passed as the IIS number parameter, the initial infeasible subproblem is printed. (Inherited from XPRSprob)
	PwlForIndex	Map a PWL index to a PWL object.
	PwlsForIndices	Map a range of PWL indices to PWL objects.
	ReadBasis	Instructs the Optimizer to read in a previously saved basis from a file. (Inherited from XPRSprob)
	ReadBasis(String)	Instructs the Optimizer to read in a previously saved basis from a file. (Inherited from XPRSprob)
	ReadBasis(String, String)	Instructs the Optimizer to read in a previously saved basis from a file. (Inherited from XPRSprob)
	ReadBinSol	Reads a solution from a binary solution file. (Inherited from XPRSprob)
	ReadBinSol(String)	Reads a solution from a binary solution file. (Inherited from XPRSprob)
	ReadBinSol(String, String)	Reads a solution from a binary solution file. (Inherited from XPRSprob)
	ReadDirs	Reads a directives file to help direct the tree search. (Inherited from XPRSprob)
	ReadDirs(String)	Reads a directives file to help direct the tree search. (Inherited from XPRSprob)
	ReadProb(String)	Reads an (X)MPS or LP format matrix from file. (Inherited from XPRSprob)
	ReadProb(String, String)	Reads an (X)MPS or LP format matrix from file. (Inherited from XPRSprob)
	ReadSlxSol	Reads an ASCII solution file [.slx] created by the writeSlxSol function. (Inherited from XPRSprob)
	ReadSlxSol(String)	Reads an ASCII solution file [.slx] created by the writeSlxSol function. (Inherited from XPRSprob)
	ReadSlxSol(String, String)	Reads an ASCII solution file [.slx] created by the writeSlxSol function. (Inherited from XPRSprob)
	RefineMipSol	Executes the MIP solution refiner. (Inherited from XPRSprob) Obsolete
	RemoveAfterObjectiveCallback	Remove AfterObjective callback. (Inherited from XPRSprob)
	RemoveAfterObjectiveCallbacks	Remove all AfterObjective callbacks. (Inherited from XPRSprob)
	RemoveBarIterationCallback	Remove BarIteration callback. (Inherited from XPRSprob)
	RemoveBarIterationCallbacks	Remove all BarIteration callbacks. (Inherited from XPRSprob)
	RemoveBarlogCallback	Remove Barlog callback. (Inherited from XPRSprob)
	RemoveBarlogCallbacks	Remove all Barlog callbacks. (Inherited from XPRSprob)
	RemoveBeforeObjectiveCallback	Remove BeforeObjective callback. (Inherited from XPRSprob)
	RemoveBeforeObjectiveCallbacks	Remove all BeforeObjective callbacks. (Inherited from XPRSprob)
	RemoveBeforeSolveCallback	Remove BeforeSolve callback. (Inherited from XPRSprob)
	RemoveBeforeSolveCallbacks	Remove all BeforeSolve callbacks. (Inherited from XPRSprob)
	RemoveChangeBranchObjectCallback	Remove ChangeBranchObject callback. (Inherited from XPRSprob)
	RemoveChangeBranchObjectCallbacks	Remove all ChangeBranchObject callbacks. (Inherited from XPRSprob)
	RemoveCheckTimeCallback	Remove CheckTime callback. (Inherited from XPRSprob)
	RemoveCheckTimeCallbacks	Remove all CheckTime callbacks. (Inherited from XPRSprob)
	RemoveChgbranchCallback	Remove Chgbranch callback. (Inherited from XPRSprob) Obsolete
	RemoveChgbranchCallbacks	Remove all Chgbranch callbacks. (Inherited from XPRSprob) Obsolete
	RemoveChgnodeCallback	Remove Chgnode callback. (Inherited from XPRSprob) Obsolete
	RemoveChgnodeCallbacks	Remove all Chgnode callbacks. (Inherited from XPRSprob) Obsolete
	RemoveComputeRestartCallback	Remove ComputeRestart callback. (Inherited from XPRSprob)
	RemoveComputeRestartCallbacks	Remove all ComputeRestart callbacks. (Inherited from XPRSprob)
	RemoveCutlogCallback	Remove Cutlog callback. (Inherited from XPRSprob)
	RemoveCutlogCallbacks	Remove all Cutlog callbacks. (Inherited from XPRSprob)
	RemoveCutmgrCallback	Remove Cutmgr callback. (Inherited from XPRSprob) Obsolete
	RemoveCutmgrCallbacks	Remove all Cutmgr callbacks. (Inherited from XPRSprob) Obsolete
	RemoveCutRoundCallback	Remove CutRound callback. (Inherited from XPRSprob)
	RemoveCutRoundCallbacks	Remove all CutRound callbacks. (Inherited from XPRSprob)
	RemoveGapNotifyCallback	Remove GapNotify callback. (Inherited from XPRSprob)
	RemoveGapNotifyCallbacks	Remove all GapNotify callbacks. (Inherited from XPRSprob)
	RemoveInfnodeCallback	Remove Infnode callback. (Inherited from XPRSprob)
	RemoveInfnodeCallbacks	Remove all Infnode callbacks. (Inherited from XPRSprob)
	RemoveIntsolCallback	Remove Intsol callback. (Inherited from XPRSprob)
	RemoveIntsolCallbacks	Remove all Intsol callbacks. (Inherited from XPRSprob)
	RemoveLplogCallback	Remove Lplog callback. (Inherited from XPRSprob)
	RemoveLplogCallbacks	Remove all Lplog callbacks. (Inherited from XPRSprob)
	RemoveMessageCallback	Remove Message callback. (Inherited from XPRSprob)
	RemoveMessageCallbacks	Remove all Message callbacks. (Inherited from XPRSprob)
	RemoveMiplogCallback	Remove Miplog callback. (Inherited from XPRSprob)
	RemoveMiplogCallbacks	Remove all Miplog callbacks. (Inherited from XPRSprob)
	RemoveMipThreadCallback	Remove MipThread callback. (Inherited from XPRSprob)
	RemoveMipThreadCallbacks	Remove all MipThread callbacks. (Inherited from XPRSprob)
	RemoveMipThreadDestroyCallback	Remove MipThreadDestroy callback. (Inherited from XPRSprob)
	RemoveMipThreadDestroyCallbacks	Remove all MipThreadDestroy callbacks. (Inherited from XPRSprob)
	RemoveMsgHandlerCallback	Remove MsgHandler callback. (Inherited from XPRSprob)
	RemoveMsgHandlerCallbacks	Remove all MsgHandler callbacks. (Inherited from XPRSprob)
	RemoveMsJobEndCallback	Remove MsJobEnd callback. (Inherited from XPRSprob)
	RemoveMsJobEndCallbacks	Remove all MsJobEnd callbacks. (Inherited from XPRSprob)
	RemoveMsJobStartCallback	Remove MsJobStart callback. (Inherited from XPRSprob)
	RemoveMsJobStartCallbacks	Remove all MsJobStart callbacks. (Inherited from XPRSprob)
	RemoveMsWinnerCallback	Remove MsWinner callback. (Inherited from XPRSprob)
	RemoveMsWinnerCallbacks	Remove all MsWinner callbacks. (Inherited from XPRSprob)
	RemoveNewnodeCallback	Remove Newnode callback. (Inherited from XPRSprob)
	RemoveNewnodeCallbacks	Remove all Newnode callbacks. (Inherited from XPRSprob)
	RemoveNlpCoefEvalErrorCallback	Remove NlpCoefEvalError callback. (Inherited from XPRSprob)
	RemoveNlpCoefEvalErrorCallbacks	Remove all NlpCoefEvalError callbacks. (Inherited from XPRSprob)
	RemoveNodecutoffCallback	Remove Nodecutoff callback. (Inherited from XPRSprob)
	RemoveNodecutoffCallbacks	Remove all Nodecutoff callbacks. (Inherited from XPRSprob)
	RemoveNodeLPSolvedCallback	Remove NodeLPSolved callback. (Inherited from XPRSprob)
	RemoveNodeLPSolvedCallbacks	Remove all NodeLPSolved callbacks. (Inherited from XPRSprob)
	RemoveOptnodeCallback	Remove Optnode callback. (Inherited from XPRSprob)
	RemoveOptnodeCallbacks	Remove all Optnode callbacks. (Inherited from XPRSprob)
	RemovePreIntsolCallback	Remove PreIntsol callback. (Inherited from XPRSprob)
	RemovePreIntsolCallbacks	Remove all PreIntsol callbacks. (Inherited from XPRSprob)
	RemovePrenodeCallback	Remove Prenode callback. (Inherited from XPRSprob)
	RemovePrenodeCallbacks	Remove all Prenode callbacks. (Inherited from XPRSprob)
	RemovePresolveCallback	Remove Presolve callback. (Inherited from XPRSprob)
	RemovePresolveCallbacks	Remove all Presolve callbacks. (Inherited from XPRSprob)
	RemoveSlpCascadeEndCallback	Remove SlpCascadeEnd callback. (Inherited from XPRSprob)
	RemoveSlpCascadeEndCallbacks	Remove all SlpCascadeEnd callbacks. (Inherited from XPRSprob)
	RemoveSlpCascadeStartCallback	Remove SlpCascadeStart callback. (Inherited from XPRSprob)
	RemoveSlpCascadeStartCallbacks	Remove all SlpCascadeStart callbacks. (Inherited from XPRSprob)
	RemoveSlpCascadeVarCallback	Remove SlpCascadeVar callback. (Inherited from XPRSprob)
	RemoveSlpCascadeVarCallbacks	Remove all SlpCascadeVar callbacks. (Inherited from XPRSprob)
	RemoveSlpCascadeVarFailCallback	Remove SlpCascadeVarFail callback. (Inherited from XPRSprob)
	RemoveSlpCascadeVarFailCallbacks	Remove all SlpCascadeVarFail callbacks. (Inherited from XPRSprob)
	RemoveSlpConstructCallback	Remove SlpConstruct callback. (Inherited from XPRSprob)
	RemoveSlpConstructCallbacks	Remove all SlpConstruct callbacks. (Inherited from XPRSprob)
	RemoveSlpDrColCallback	Remove SlpDrCol callback. (Inherited from XPRSprob)
	RemoveSlpDrColCallbacks	Remove all SlpDrCol callbacks. (Inherited from XPRSprob)
	RemoveSlpIntSolCallback	Remove SlpIntSol callback. (Inherited from XPRSprob)
	RemoveSlpIntSolCallbacks	Remove all SlpIntSol callbacks. (Inherited from XPRSprob)
	RemoveSlpIterEndCallback	Remove SlpIterEnd callback. (Inherited from XPRSprob)
	RemoveSlpIterEndCallbacks	Remove all SlpIterEnd callbacks. (Inherited from XPRSprob)
	RemoveSlpIterStartCallback	Remove SlpIterStart callback. (Inherited from XPRSprob)
	RemoveSlpIterStartCallbacks	Remove all SlpIterStart callbacks. (Inherited from XPRSprob)
	RemoveSlpIterVarCallback	Remove SlpIterVar callback. (Inherited from XPRSprob)
	RemoveSlpIterVarCallbacks	Remove all SlpIterVar callbacks. (Inherited from XPRSprob)
	RemoveSlpPreUpdateLinearizationCallback	Remove SlpPreUpdateLinearization callback. (Inherited from XPRSprob)
	RemoveSlpPreUpdateLinearizationCallbacks	Remove all SlpPreUpdateLinearization callbacks. (Inherited from XPRSprob)
	RemoveUserSolNotifyCallback	Remove UserSolNotify callback. (Inherited from XPRSprob)
	RemoveUserSolNotifyCallbacks	Remove all UserSolNotify callbacks. (Inherited from XPRSprob)
	RepairInfeas(Char, Char, Char, Double, Double, Double, Double, Double)	Convenience wrapper for RepairInfeas(int,char,char,char,double,double,double,double,double) that returns the output argument. (Inherited from XPRSprob)
	RepairInfeas(Int32, Char, Char, Char, Double, Double, Double, Double, Double)	Provides a simplified interface for repairWeightedInfeas. (Inherited from XPRSprob)
	RepairWeightedInfeas(Double, Double, Double, Double, Char, Double, String)	Convenience wrapper for RepairWeightedInfeas(int,double[],double[],double[],double[],char,double,string) that returns the output argument. (Inherited from XPRSprob)
	RepairWeightedInfeas(IDictionaryInequality, Double, IDictionaryInequality, Double, IDictionaryVariable, Double, IDictionaryVariable, Double, Char, Double, String)	Repair infeasibilities using weights. By relaxing a set of selected constraints and bounds of an infeasible problem, it attempts to identify a 'solution' that violates the selected set of constraints and bounds minimally, while satisfying all other constraints and bounds. Among such solution candidates, it selects one that is optimal regarding the original objective function.
	RepairWeightedInfeas(Int32, Double, Double, Double, Double, Char, Double, String)	By relaxing a set of selected constraints and bounds of an infeasible problem, it attempts to identify a 'solution' that violates the selected set of constraints and bounds minimally, while satisfying all other constraints and bounds. Among such solution candidates, it selects one that is optimal regarding the original objective function. For the console version, see REPAIRINFEAS. (Inherited from XPRSprob)
	RepairWeightedInfeasBounds(Double, Double, Double, Double, Double, Double, Double, Double, Char, Double, String)	Convenience wrapper for RepairWeightedInfeasBounds(int,double[],double[],double[],double[],double[],double[],double[],double[],char,double,string) that returns the output argument. (Inherited from XPRSprob)
	RepairWeightedInfeasBounds(Int32, Double, Double, Double, Double, Double, Double, Double, Double, Char, Double, String)	An extended version of repairWeightedInfeas that allows for bounding the level of relaxation allowed. (Inherited from XPRSprob)
	Restore	Restores the Optimizer's data structures from a file created by save (SAVE). Optimization may then recommence from the point at which the file was created. (Inherited from XPRSprob)
	Restore(String)	Restores the Optimizer's data structures from a file created by save (SAVE). Optimization may then recommence from the point at which the file was created. (Inherited from XPRSprob)
	Restore(String, String)	Restores the Optimizer's data structures from a file created by save (SAVE). Optimization may then recommence from the point at which the file was created. (Inherited from XPRSprob)
	RHSsa(Inequality, Double, Double)	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients. If the RHS coefficients are varied within these ranges the current basis remains optimal and the reduced costs remain valid.
	RHSsa(Int32, Inequality, Double, Double)	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients. If the RHS coefficients are varied within these ranges the current basis remains optimal and the reduced costs remain valid.
	RHSsa(Int32, Int32, Double, Double)	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients. If the RHS coefficients are varied within these ranges the current basis remains optimal and the reduced costs remain valid. (Inherited from XPRSprob)
	RowTypeToArray	Convert a column type array to an array of low-level type indicators. (Inherited from XPRSprob)
	Save	Saves the current data structures, i.e. matrices, control settings and problem attribute settings to file and terminates the run so that optimization can be resumed later. (Inherited from XPRSprob)
	SaveAs	Saves the current data structures, i.e. matrices, control settings and problem attribute settings to file and terminates the run so that optimization can be resumed later. (Inherited from XPRSprob)
	Scale	Re-scales the current matrix. (Inherited from XPRSprob)
	SetDblControl	Sets the value of a given double control parameter. (Inherited from XPRSprob)
	SetDefaultControl	Set a default control value. (Inherited from XPRSprob)
	SetDefaults	Sets all controls to their default values. Must be called before the problem is read or loaded by readProb, loadMIP, loadLP, loadMIQP, loadQP. (Inherited from XPRSprob)
	SetIndicator(Int32, Int32, Int32)	Add a single indicator constraint. (Inherited from XPRSprob)
	SetIndicator(Variable, Boolean, Inequality)	Add an indicator constraint to this model. Both variable and row must exist.
	SetIndicators(Variable, Boolean, Inequality)	Add indicator constraints to this model. The provided arrays must all have length at least count and for any i in 0..count-1 an indicator constraint is constructed from indicatorVariable[i], indicatorValue[i] and row[i]. If indicatorValue[i] is true then the constraints states that if indicatorVariable[i] is 1 (one), then row[i] must be Satisfied (and if indicator is 0 (zero) then row[i] is ignored). Otherwise, row[i] must be satisfied if indicator[i] is 0 (zero) and is ignored otherwise. All referenced variables and rows must exist.
	SetIndicators(Int32, FuncInt32, Variable, FuncInt32, Boolean, FuncInt32, Inequality)	Add indicator constraints to this model. The function iterates through [0, ... ,count[ and calls the provided functions for each in this interval. The return values of the functions are used to construct an indicator constraint. For a fixed t, if IndicatorValue(t) returns true then the created constraint states that if IndicatorVariable(t) is 1 (one), then Row(t) must be satisfied and is ignored otherwise. Otherwise, Row(t) must be satisfied if IndicatorVariable(t) is 0 (zero) and is ignored otherwise. All referenced variables and rows must exist.
	SetIndicators(Int32, Int32, Int32, Int32)	Specifies that a set of rows in the matrix will be treated as indicator constraints during a tree search. An indicator constraint is made of a condition and a constraint. The condition is of the type "bin = value", where bin is a binary variable and value is either 0 or 1. The constraint is any matrix row (may be linear, quadratic or general nonlinear). During tree search, a row configured as an indicator constraint is enforced only when condition holds, that is only if the indicator variable bin has the specified value. Note that every row may only get assigned a single indicator variable and term. If a row needs to be activated by multiple different terms, the row needs to be duplicated so that each term can be assigned to a distinct row. If the indicator variable should be changed, the old term needs to be deleted first (by calling delIndicators or by calling this function with a comps argument of 0) before assigning a new one. (Inherited from XPRSprob)
	SetIndicatorsT(IEnumerableT, FuncT, Variable, FuncT, Boolean, FuncT, Inequality)	Add indicator constraints to this model. The function iterates through data and calls the provided functions for each element found. The return values of the functions are used to construct an indicator constraint. For a fixed t, if IndicatorValue(t) returns true then the created constraint states that if IndicatorVariable(t) is 1 (one), then Row(t) must be satisfied and is ignored otherwise. Otherwise, Row(t) must be satisfied if IndicatorVariable(t) is 0 (zero) and is ignored otherwise. All referenced variables and rows must exist.
	SetIntControl	Sets the value of a given integer control parameter. (Inherited from XPRSprob)
	SetLogFile	This directs all Optimizer output to a log file. (Inherited from XPRSprob)
	SetLongControl	Sets the value of a given integer control parameter. (Inherited from XPRSprob)
	SetMessageStatus	Manages suppression of messages. (Inherited from XPRSprob)
	SetObjDblControl	Sets the value of a given double control parameter associated with an objective. These parameters control how the objective is treated during multi-objective optimization. (Inherited from XPRSprob)
	SetObjective(Expression)	Set the objective function to a new expression.
	SetObjective(Expression, ObjSense)	Set the objective function to a new expression.
	SetObjective(Int32, Double)	Set objective to a linear function. Any previously set objective will be cleared. (Inherited from XPRSprob)
	SetObjective(Int32, Double, ObjSense)	Set objective to a linear function. Any previously set objective will be cleared. (Inherited from XPRSprob)
	SetObjective(Int32, Expression, Int32, Double, Double, Double)	Set an objective function and its controls. In case of error: - if the function created new objectives then all newly created objectives will be removed, - if an existing objective was modified then that objective function will be cleared and all controls will be unchanged.
	SetObjIntControl	Sets the value of a given integer control parameter associated with an objective. These parameters control how the objective is treated during multi-objective optimization. (Inherited from XPRSprob)
	SetProbName	Sets the current default problem name. This command is rarely used. (Inherited from XPRSprob)
	SetStrControl	Used to set the value of a given string control parameter. (Inherited from XPRSprob)
	SlpAddCoefs	Add non-linear coefficients to the SLP problem. For a simpler version of this function see XSLPaddformulas. (Inherited from XPRSprob)
	SlpCascadeOrder	Establish a re-calculation sequence for SLP variables with determining rows. (Inherited from XPRSprob)
	SlpCascadeSol	Re-calculate consistent values for SLP variables based on the current values of the remaining variables. (Inherited from XPRSprob)
	SlpChgCascadeNLimit	Set a variable specific cascade iteration limit (Inherited from XPRSprob)
	SlpChgCCoef	Add or change a single matrix coefficient using a character string for the formula. For a simpler version of this function see nlpChgFormulaStr. (Inherited from XPRSprob) Obsolete
	SlpChgCoef	Add or change a single matrix coefficient using a parsed or unparsed formula. For a simpler version of this function see XSLPchgformula. (Inherited from XPRSprob)
	SlpChgCoefStr	Add or change a single matrix coefficient using a character string for the formula. For a simpler version of this function see nlpChgFormulaStr. (Inherited from XPRSprob)
	SlpChgDeltaType	Changes the type of the delta assigned to a nonlinear variable (Inherited from XPRSprob)
	SlpChgRowStatus(Int32)	Convenience wrapper for SlpChgRowStatus(int,int) that returns the output argument. (Inherited from XPRSprob)
	SlpChgRowStatus(Int32, Int32)	Change the status setting of a constraint (Inherited from XPRSprob)
	SlpChgRowWt	Set or change the initial penalty error weight for a row (Inherited from XPRSprob)
	SlpConstruct	Create the full augmented SLP matrix and data structures, ready for optimization (Inherited from XPRSprob)
	SlpDelCoefs(Int32, Int32)	Convenience wrapper for SlpDelCoefs(int, int[], int[]). (Inherited from XPRSprob)
	SlpDelCoefs(Int32, Int32, Int32)	Delete coefficients from the current problem. For a simpler version of this function see XSLPdelformulas. (Inherited from XPRSprob)
	SlpEvaluateCoef(Int32, Int32)	Convenience wrapper for SlpEvaluateCoef(int,int,double) that returns the output argument. (Inherited from XPRSprob)
	SlpEvaluateCoef(Int32, Int32, Double)	Evaluate a coefficient using the current values of the variables (Inherited from XPRSprob)
	SlpFixPenalties	Fixe the values of the error vectors (Inherited from XPRSprob)
	SlpGetCCoef	Retrieve a single matrix coefficient as a formula in a character string. For a simpler version of this function see nlpGetFormulaStr. (Inherited from XPRSprob) Obsolete
	SlpGetCoefFormula	Retrieve a single matrix coefficient as a formula split into tokens. For a simpler version of this function see XSLPgetformula. (Inherited from XPRSprob)
	SlpGetCoefs	Retrieve the list of positions of the nonlinear coefficients in the problem. For a simpler version of this function see XSLPgetformularows. (Inherited from XPRSprob)
	SlpGetCoefStr	Retrieve a single matrix coefficient as a formula in a character string. For a simpler version of this function see nlpGetFormulaStr. (Inherited from XPRSprob)
	SlpGetRowStatus	Retrieve the status setting of a constraint (Inherited from XPRSprob)
	SlpGetRowWT(Int32)	Convenience wrapper for SlpGetRowWT(int,double) that returns the output argument. (Inherited from XPRSprob)
	SlpGetRowWT(Int32, Double)	Get the initial penalty error weight for a row (Inherited from XPRSprob)
	SlpLoadCoefs	Load non-linear coefficients into the SLP problem. For a simpler version of this function see XSLPloadformulas. (Inherited from XPRSprob)
	SlpReInitialize	Reset the SLP problem to match a just augmented system (Inherited from XPRSprob)
	SlpSetDetRow(Int32, Int32)	Convenience wrapper for SlpSetDetRow(int, int[], int[]). (Inherited from XPRSprob)
	SlpSetDetRow(Variable, Inequality)	Set the determining row of a variable.
	SlpSetDetRow(Int32, Int32, Int32)	Set the determining row of a variable (Inherited from XPRSprob)
	SlpUnConstruct	Removes the augmentation and returns the problem to its pre-linearization state (Inherited from XPRSprob)
	SlpUpdateLinearization	Updates the current linearization (Inherited from XPRSprob)
	SosForIndex	Map an SOS index to an SOS object.
	SosForIndices	Map a range of SOS indices to SOS objects.
	SparseBTran	Post-multiplies a (row) vector provided by the user by the inverse of the current matrix. Sparse version of bTran. (Inherited from XPRSprob)
	SparseFTran	Pre-multiplies a (column) vector provided by the user by the inverse of the current matrix. Sparse version of fTran. (Inherited from XPRSprob)
	StoreCuts(Int32, Int32, Int32, Char, Double, Int32, Cut, Int32, Double)	Stores cuts into the cut pool, but does not apply them to the current node. These cuts must be explicitly loaded into the matrix using loadCuts before they become active. (Inherited from XPRSprob)
	StoreCuts(Int32, Int32, Int32, Char, Double, Int64, Cut, Int32, Double)	Stores cuts into the cut pool, but does not apply them to the current node. These cuts must be explicitly loaded into the matrix using loadCuts before they become active. (Inherited from XPRSprob)
	StrongBranch	Performs strong branching iterations on all specified bound changes. For each candidate bound change, strongBranch performs dual simplex iterations starting from the current optimal solution of the base LP, and returns both the status and objective value reached after these iterations. (Inherited from XPRSprob)
	StrongBranchCB	Performs strong branching iterations on all specified bound changes. For each candidate bound change, strongBranchCB performs dual simplex iterations starting from the current optimal solution of the base LP, and returns both the status and objective value reached after these iterations. (Inherited from XPRSprob)
	ToString	Returns a string that represents the current object. (Inherited from Object)
	Tune	This function begins a tuner session for the current problem. The tuner will solve the problem multiple times while evaluating a list of control settings and promising combinations of them. When finished, the tuner will select and set the best control setting on the problem. Note that the direction of optimization is given by OBJSENSE. (Inherited from XPRSprob)
	TuneProbSetFile	This function begins a tuner session for a set of problems. The tuner will solve the problems multiple times while evaluating a list of control settings and promising combinations of them. When finished, the tuner will select and set the best control setting on the problems. (Inherited from XPRSprob)
	TunerReadMethod	This function loads a user defined tuner method from the given file. (Inherited from XPRSprob)
	TunerWriteMethod	This function writes the current tuner method to a given file or prints it to the console. (Inherited from XPRSprob)
	UnloadProb	Unloads and frees all memory associated with the current problem. It also invalidates the current problem (as opposed to reading in an empty problem). (Inherited from XPRSprob) Obsolete
	VarArray(Char, Int32, Double, Double, FuncInt32, String)	Create an array of variables with the same type. All the variables created by this function have the same types and bounds. (Inherited from XPRSprob) Obsolete
	VarArray(Char, Int32, Double, Double, String)	Create an array of variables with the same type. (Inherited from XPRSprob) Obsolete
	VarArray(Char, Int32, FuncInt32, Double, FuncInt32, Double, FuncInt32, String)	Create an array of variables with the same type. (Inherited from XPRSprob) Obsolete
	VarArrayT(Char, ICollectionT, Double, Double, FuncT, String)	Create an array of variables with the same type. All the variables created by this function have the same types and bounds. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	VarArrayT(Char, ICollectionT, FuncT, Double, FuncT, Double, FuncT, String)	Create an array of variables with the same type. The function will create one variable for each of the objects listed in objs. (Inherited from XPRSprob) Obsolete
	VariableForIndex	Map a variable index to a variable object.
	VariablesForIndices	Map a range of variable indices to variable objects.
	VarMapT(Char, ICollectionT, FuncT, Double, FuncT, Double, FuncT, String)	Create a map of variables that all have the same type. The function creates a new variable for each object in objs. It returns a hash map in which each object in objs maps to the index of the variable that was created for it. (Inherited from XPRSprob) Obsolete
	VarMapT(Char, ICollectionT, FuncT, Double, FuncT, Double, FuncT, String, IDictionaryT, Int32)	Create a map of variables that all have the same type. The function creates a new variable for each object in objs. For each object o it puts the Pair (o, idx) into map where idx is the index of the variable that was created for o. (Inherited from XPRSprob) Obsolete
	WriteBasis	Writes the current basis to a file for later input into the Optimizer. (Inherited from XPRSprob)
	WriteBasis(String)	Writes the current basis to a file for later input into the Optimizer. (Inherited from XPRSprob)
	WriteBasis(String, String)	Writes the current basis to a file for later input into the Optimizer. (Inherited from XPRSprob)
	WriteBinSol	Writes the current MIP or LP solution to a binary solution file for later input into the Optimizer. (Inherited from XPRSprob)
	WriteBinSol(String)	Writes the current MIP or LP solution to a binary solution file for later input into the Optimizer. (Inherited from XPRSprob)
	WriteBinSol(String, String)	Writes the current MIP or LP solution to a binary solution file for later input into the Optimizer. (Inherited from XPRSprob)
	WriteDirs	Writes the tree search directives from the current problem to a directives file. (Inherited from XPRSprob)
	WriteDirs(String)	Writes the tree search directives from the current problem to a directives file. (Inherited from XPRSprob)
	WriteIIS(Int32, String, Int32)	Writes an LP/MPS/CSV file containing a given Irreducible Infeasible Set (IIS). If 0 is passed as the IIS number parameter, the initial infeasible subproblem is written. (Inherited from XPRSprob)
	WriteIIS(Int32, String, Int32, String)	Writes an LP/MPS/CSV file containing a given Irreducible Infeasible Set (IIS). If 0 is passed as the IIS number parameter, the initial infeasible subproblem is written. (Inherited from XPRSprob)
	WriteProb	Writes the current problem to an MPS or LP file. (Inherited from XPRSprob)
	WriteProb(String)	Writes the current problem to an MPS or LP file. (Inherited from XPRSprob)
	WriteProb(String, String)	Writes the current problem to an MPS or LP file. (Inherited from XPRSprob)
	WritePrtSol	Writes the current solution to a fixed format ASCII file, problem_name.prt. (Inherited from XPRSprob)
	WritePrtSol(String)	Writes the current solution to a fixed format ASCII file, problem_name.prt. (Inherited from XPRSprob)
	WritePrtSol(String, String)	Writes the current solution to a fixed format ASCII file, problem_name.prt. (Inherited from XPRSprob)
	WriteSlxSol	Creates an ASCII solution file (.slx) using a similar format to MPS files. These files can be read back into the Optimizer using the readSlxSol function. (Inherited from XPRSprob)
	WriteSlxSol(String)	Creates an ASCII solution file (.slx) using a similar format to MPS files. These files can be read back into the Optimizer using the readSlxSol function. (Inherited from XPRSprob)
	WriteSlxSol(String, String)	Creates an ASCII solution file (.slx) using a similar format to MPS files. These files can be read back into the Optimizer using the readSlxSol function. (Inherited from XPRSprob)
	WriteSol	Writes the current solution to a CSV format ASCII file, problem_name.asc (and .hdr). (Inherited from XPRSprob)
	WriteSol(String)	Writes the current solution to a CSV format ASCII file, problem_name.asc (and .hdr). (Inherited from XPRSprob)
	WriteSol(String, String)	Writes the current solution to a CSV format ASCII file, problem_name.asc (and .hdr). (Inherited from XPRSprob)

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Fields

	Name	Description
	callbacks	Property through which callbacks for this instance can be accessed.
	NULL_VARIABLE	Variable object that is used to indicate a constant term in expressions that are implemented as maps.

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Reference

Optimizer.Objects Namespace

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