XPRScontrol Enumeration
Namespace: Optimizer
Assembly: xprsdn (in xprsdn.dll) Version: 42.01.04
Syntax
C#
public enum XPRScontrol
Members
| Member name | Value | Description | |
|---|---|---|---|
| ExtraRows | 8004 | 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. | |
| ExtraCols | 8005 | 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. | |
| ExtraElems | 8006 | 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. | |
| LPIterLimit | 8007 | 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. | |
| LPLog | 8009 | Simplex: The frequency at which the simplex log is printed. | |
| Scaling | 8010 | This bit vector control determines how the Optimizer will rescale a model internally before optimization. If set to 0, no scaling will take place. | |
| Presolve | 8011 | 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. | |
| Crash | 8012 | 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. | |
| PricingAlg | 8013 | 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. | |
| InvertFreq | 8014 | 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. | |
| InvertMin | 8015 | Simplex: The minimum number of iterations between full inversions of the basis matrix. See the description of INVERTFREQ for details. | |
| MaxNode | 8018 | Branch and Bound: The maximum number of nodes that will be explored. | |
| MaxTime | 8020 | Obsolete. 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. | |
| MaxMIPSol | 8021 | 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. | |
| SiftPasses | 8022 | 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. . | |
| DefaultAlg | 8023 | This selects the algorithm that will be used to solve the LP if no algorithm flag is passed to the optimization routines. | |
| VarSelection | 8025 | 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. | |
| NodeSelection | 8026 | Branch and Bound: This determines which nodes will be considered for solution once the current node has been solved. | |
| BackTrack | 8027 | Branch and Bound: Specifies how to select the next node to work on when a full backtrack is performed. | |
| MIPLog | 8028 | MIP log print control. | |
| KeepNRows | 8030 | How nonbinding rows should be handled by the MPS reader. | |
| MPSEcho | 8032 | Determines whether comments in MPS matrix files are to be printed out during matrix input. | |
| MaxPageLines | 8034 | Number of lines between page breaks in printable output. | |
| OutputLog | 8035 | 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. | |
| BarSolution | 8038 | This determines whether the barrier has to decide which is the best solution found or return the solution computed by the last barrier iteration. | |
| CacheSize | 8043 | Obsolete. 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. | |
| CrossOver | 8044 | Newton barrier: 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). | |
| BarIterLimit | 8045 | 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. | |
| CholeskyAlg | 8046 | Newton barrier: type of Cholesky factorization used. | |
| BarOutput | 8047 | Newton barrier: 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. | |
| ExtraMIPEnts | 8051 | The initial number of extra MIP entities to allow for. | |
| Refactor | 8052 | Indicates whether the optimization should restart using the current representation of the factorization in memory. | |
| BarThreads | 8053 | If set to a positive integer it determines the number of threads implemented to run the Newton-barrier algorithm. If the value is set to the default value (-1), the THREADS control will determine the number of threads used. | |
| KeepBasis | 8054 | Simplex: This determines which basis to use for the next iteration. The choice is between using that determined by the crash procedure at the first iteration, or using the basis from the last iteration. | |
| CrossoverOps | 8060 | Newton barrier: a bit vector for adjusting the behavior of the crossover procedure. | |
| Version | 8061 | The Optimizer version number, e.g. 1301 meaning release 13.01. | |
| CrossoverThreads | 8065 | 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. | |
| BigmMethod | 8068 | 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. | |
| MPSNameLength | 8071 | ||
| ElimFillIn | 8073 | Amount of fill-in allowed when performing an elimination in presolve . | |
| PresolveOps | 8077 | This bit vector control specifies the operations which are performed during the presolve. | |
| MIPPresolve | 8078 | Branch and Bound: Type of integer processing to be performed. If set to 0, no processing will be performed. | |
| MIPThreads | 8079 | 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. | |
| BarOrder | 8080 | Newton barrier: This controls the Cholesky factorization in the Newton-Barrier. | |
| BreadthFirst | 8082 | The number of nodes to include in the best-first search before switching to the local first search (NODESELECTION=4). | |
| AutoPerturb | 8084 | 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. | |
| DenseColLimit | 8086 | 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. | |
| CallbackFromMasterThread | 8090 | Branch and Bound: specifies whether the MIP callbacks should only be called on the master thread. | |
| MaxMCoeffBufferElems | 8091 | 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. | |
| RefineOps | 8093 | 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. | |
| LpRefineIterLimit | 8094 | This specifies the simplex iteration limit the solution refiner can spend in attempting to increase the accuracy of an LP solution. | |
| MipRefineIterLimit | 8095 | This defines an effort limit expressed as simplex iterations for the MIP solution refiner. The limit is per reoptimizations in the MIP refiner. | |
| DualizeOps | 8097 | Bit-vector control for adjusting the behavior when a problem is dualized. | |
| CrossoverIterLimit | 8104 | Newton barrier: The maximum number of iterations that will be performed in the crossover procedure before the optimization process terminates. | |
| PreBasisRed | 8106 | Determines if a lattice basis reduction algorithm should be attempted as part of presolve | |
| PreSort | 8107 | This bit vector control 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. | |
| PrePermute | 8108 | This bit vector control specifies whether to randomly permute rows, columns and MIP entities when starting the presolve. With the default value 0, no permutation will take place. | |
| PrePermuteSeed | 8109 | 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. | |
| MaxMemorySoft | 8112 | 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. | |
| CutFreq | 8116 | 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. | |
| SymSelect | 8117 | Adjusts the overall amount of effort for symmetry detection. | |
| Symmetry | 8118 | Adjusts the overall amount of effort for symmetry detection. | |
| MaxMemoryHard | 8119 | 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. | |
| MIQCPAlg | 8125 | This control determines which algorithm is to be used to solve mixed integer quadratic constrained and mixed integer second order cone problems. | |
| QCCuts | 8126 | 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. | |
| QCRootAlg | 8127 | 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. | |
| PreConvertSeparable | 8128 | Presolve: reformulate problems with a non-diagonal quadratic objective and/or constraints as diagonal quadratic or second-order conic constraints. | |
| AlgAfterNetwork | 8129 | The algorithm to be used for the clean up step after the network simplex solver. | |
| Trace | 8130 | 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. | |
| MaxIIS | 8131 | This function controls the number of Irreducible Infeasible Sets to be found using the iISAll (IIS-a). | |
| CPUTime | 8133 | How time should be measured when timings are reported in the log and when checking against time limits | |
| CoverCuts | 8134 | Branch and Bound: The number of rounds of lifted cover inequalities at the top 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 top node, since these inequalities then apply to every subsequent node in the tree search. | |
| GomCuts | 8135 | Branch and Bound: The number of rounds of Gomory or lift-and-project cuts at the top node. | |
| LpFolding | 8136 | Simplex and barrier: whether to fold an LP problem before solving it. | |
| MPSFormat | 8137 | Specifies the format of MPS files. | |
| CutStrategy | 8138 | 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. | |
| CutDepth | 8139 | 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. | |
| TreeCoverCuts | 8140 | Branch and Bound: The number of rounds of lifted cover inequalities generated at nodes other than the top node in the tree. Compare with the description for COVERCUTS. A value of -1 indicates the number of rounds is determined automatically. | |
| TreeGomCuts | 8141 | 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. | |
| CutSelect | 8142 | A bit vector providing detailed control of the cuts created for the root node of a MIP solve. Use TREECUTSELECT to control cuts during the tree search. | |
| TreeCutSelect | 8143 | A bit vector providing detailed control of the cuts created during the tree search of a MIP solve. Use CUTSELECT to control cuts on the root node. | |
| Dualize | 8144 | This specifies whether presolve should form the dual of the problem. | |
| DualGradient | 8145 | Simplex: This specifies the dual simplex pricing method. | |
| SBIterLimit | 8146 | Number of dual iterations to perform the strong branching for each entity. | |
| SBBest | 8147 | Number of infeasible MIP entities to initialize pseudo costs for on each node. | |
| BarIndefLimit | 8153 | 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. | |
| HeurFreq | 8155 | 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. | |
| HeurDepth | 8156 | 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. | |
| HeurMaxSol | 8157 | 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. | |
| HeurNodes | 8158 | 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. | |
| LNPBest | 8160 | Number of infeasible MIP entities to create lift-and-project cuts for during each round of Gomory cuts at the top node (see GOMCUTS). | |
| LNPIterLimit | 8161 | Number of iterations to perform in improving each lift-and-project cut. | |
| BranchChoice | 8162 | Once a MIP entity has been selected for branching, this control determines which of the branches is solved first. | |
| BarRegularize | 8163 | This control determines how the barrier algorithm applies regularization on the KKT system. | |
| SBSelect | 8164 | The size of the candidate list of MIP entities for strong branching. | |
| IISLog | 8165 | Selects how much information should be printed during the IIS procedure. | |
| LocalChoice | 8170 | Controls when to perform a local backtrack between the two child nodes during a dive in the branch and bound tree. | |
| LocalBacktrack | 8171 | ||
| DualStrategy | 8174 | This bit-vector control specifies the dual simplex strategy. | |
| L1Cache | 8175 | Obsolete. 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. | |
| HeurDiveStrategy | 8177 | Branch and Bound: Chooses the strategy for the diving heuristic. | |
| HeurSelect | 8178 | ||
| BarStart | 8180 | Newton barrier: Controls the computation of the starting point for the barrier algorithm. | |
| PresolvePasses | 8183 | Number of reduction rounds to be performed in presolve | |
| BarNumStability | 8186 | ||
| BarOrderThreads | 8187 | If set to a positive integer it determines the number of concurrent threads for the sparse matrix ordering algorithm in the Newton-barrier method. | |
| ExtraSets | 8190 | 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. | |
| ExtraSetElems | 8191 | 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. | |
| FeasibilityPump | 8193 | Branch and Bound: Decides if the Feasibility Pump heuristic should be run at the top node. | |
| PreCoefElim | 8194 | 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. | |
| PreDomCol | 8195 | Presolve: Determines the level of dominated column removal reductions to perform when presolving a mixed integer problem. Only binary columns will be checked. | |
| HeurSearchFreq | 8196 | Branch and Bound: This specifies how often the local search heuristic should be run in the tree. | |
| HeurDiveSpeedUp | 8197 | Branch and Bound: Changes the emphasis of the diving heuristic from solution quality to diving speed. | |
| SBEstimate | 8198 | 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. | |
| BarCores | 8202 | If set to a positive integer it determines the number of physical CPU cores assumed to be present in the system by the barrier algorithm. If the value is set to the default value (-1), Xpress will automatically detect the number of cores. | |
| MaxChecksOnMaxTime | 8203 | 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. | |
| MaxChecksOnMaxCutTime | 8204 | 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. | |
| HistoryCosts | 8206 | Branch and Bound: How to update the pseudo cost for a MIP entity when a strong branch or a regular branch is applied. | |
| AlgAfterCrossOver | 8208 | The algorithm to be used for the final clean up step after the crossover. | |
| MutexCallBacks | 8210 | Branch and Bound: This determines whether the callback routines are mutexed from within the optimizer. | |
| BarCrash | 8211 | Newton barrier: 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. | |
| HeurDiveSoftRounding | 8215 | 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. | |
| HeurSearchRootSelect | 8216 | A bit vector control 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. | |
| HeurSearchTreeSelect | 8217 | A bit vector control 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. | |
| MPS18Compatible | 8223 | Provides compatibility of MPS file output for older MPS readers. | |
| RootPresolve | 8224 | Determines if presolving should be performed on the problem after the tree search has finished with root cutting and heuristics. | |
| CrossOverDRP | 8227 | ||
| ForceOutput | 8229 | 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. | |
| PrimalOps | 8231 | Primal simplex: allows fine tuning the variable selection in the primal simplex solver. | |
| Deterministic | 8232 | Selects whether to use a deterministic or opportunistic mode when solving a problem using multiple threads. | |
| PreProbing | 8238 | 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. | |
| TreeMemoryLimit | 8242 | 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. | |
| TreeCompression | 8243 | 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. | |
| TreeDiagnostics | 8244 | A bit vector providing control over how various tree-management-related messages get printed in the tree log file during the branch-and-bound search. | |
| MaxTreeFileSize | 8245 | 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. | |
| PreCliqueStrategy | 8247 | Determines how much effort to spend on clique covers in presolve. | |
| RepairInfeasMaxTime | 8250 | Obsolete. Overall time limit for the repairinfeas tool | |
| IfCheckConvexity | 8251 | 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. | |
| PrimalUnshift | 8252 | Determines whether primal is allowed to call dual to unshift. | |
| RepairIndefiniteQ | 8254 | Controls if the optimizer should make indefinite quadratic matrices positive definite when it is possible. | |
| MipRampup | 8255 | Controls the strategy used by the parallel MIP solver during the ramp-up phase of a branch-and-bound tree search. | |
| MaxLocalBacktrack | 8257 | Branch-and-Bound: How far back up the current dive path the optimizer is allowed to look for a local backtrack candidate node. | |
| UserSolHeuristic | 8258 | 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. | |
| PreConvertObjToCons | 8260 | Presolve: convert a linear or quadratic objective function into an objective transfer constraint | |
| ForceParallelDual | 8265 | 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. | |
| BacktrackTie | 8266 | 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. | |
| BranchDisj | 8267 | Branch and Bound: Determines whether the optimizer should attempt to branch on general split disjunctions during the branch and bound search. | |
| MipFracReduce | 8270 | 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. | |
| ConcurrentThreads | 8274 | Determines the number of threads used by the concurrent solver. | |
| MaxScaleFactor | 8275 | This determines the maximum scaling factor that can be applied during scaling. The maximum is provided as an exponent of a power of 2. | |
| HeurThreads | 8276 | Branch and Bound: The number of threads to dedicate to running heuristics during the root solve and tree search. | |
| Threads | 8278 | The default number of threads used during optimization. | |
| HeurBeforeLP | 8280 | Branch and Bound: Determines whether primal heuristics should be run before the initial LP relaxation has been solved. | |
| PreDomRow | 8281 | Presolve: Determines the level of dominated row removal reductions to perform when presolving a problem. | |
| BranchStructural | 8282 | Branch and Bound: Determines whether the optimizer should search for special structure in the problem to branch on during the branch and bound search. | |
| QuadraticUnshift | 8284 | Determines whether an extra solution purification step is called after a solution found by the quadratic simplex (either primal or dual). | |
| BarPresolveOps | 8286 | Newton barrier: This controls the Newton-Barrier specific presolve operations. | |
| QSimplexOps | 8288 | Controls the behavior of the quadratic simplex solvers. | |
| MipRestart | 8290 | Branch and Bound: controls strategy for in-tree restarts. | |
| ConflictCuts | 8292 | 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. | |
| PreProtectDual | 8293 | 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. | |
| CoresPerCPU | 8296 | 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 | |
| ResourceStrategy | 8297 | 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 | |
| Clamping | 8301 | This control allows for the adjustment of returned solution values such that they are always within bounds. | |
| SleepOnThreadWait | 8302 | In previous versions this was used to determine if the threads should be put into a wait state when waiting for work. | |
| PreDupRow | 8307 | Presolve: Determines the type of duplicate rows to look for and eliminate when presolving a problem. | |
| CPUPlatform | 8312 | 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. | |
| BarAlg | 8315 | This control determines which barrier algorithm is to be used to solve the problem. | |
| Sifting | 8319 | Determines whether to enable sifting algorithm with the dual simplex method. | |
| LPLogStyle | 8326 | Simplex: The style of the simplex log. | |
| RandomSeed | 8328 | 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. | |
| TreeQCCuts | 8331 | 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. | |
| PreLinDep | 8333 | Presolve: Determines whether to check for and remove linearly dependent equality constraints when presolving a problem. | |
| DualThreads | 8334 | 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. | |
| PreObjCutDetect | 8336 | 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. | |
| PreBndRedQuad | 8337 | Determines if convex quadratic contraints should be used for inferring bound reductions on variables when solving a MIP. | |
| PreBndRedCone | 8338 | Determines if second order cone constraints should be used for inferring bound reductions on variables when solving a MIP. | |
| PreComponents | 8339 | Presolve: determines whether small independent components should be detected and solved as individual subproblems during root node processing. | |
| MaxMipTasks | 8347 | Branch-and-Bound: The maximum number of tasks to run in parallel during a MIP solve. | |
| MipTerminationMethod | 8348 | 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. | |
| PreConeDecomp | 8349 | Presolve: decompose regular and rotated cones with more than two elements and apply Outer Approximation on the resulting components. | |
| HeurForceSpecialObj | 8350 | 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. | |
| HeurSearchRootCutFreq | 8351 | 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. | |
| PreElimQuad | 8353 | Presolve: Allows for elimination of quadratic variables via doubleton rows. | |
| PreImplications | 8356 | Presolve: Determines whether to use implication structures to remove redundant rows. If implication sequences are detected, they might also be used in probing. | |
| TunerMode | 8359 | Tuner: Whether to always enable the tuner or disable it. | |
| TunerMethod | 8360 | 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. | |
| TunerTarget | 8362 | Tuner: Defines the tuner target -- what should be evaluated when comparing two runs with different control settings. | |
| TunerThreads | 8363 | Tuner: the number of threads used by the tuner. | |
| TunerHistory | 8365 | Tuner: Whether to reuse and append to previous tuner results of the same problem. | |
| TunerPermute | 8366 | Tuner: Defines the number of permutations to solve for each control setting. | |
| TunerVerbose | 8370 | Tuner: whether the tuner should prints detailed information for each run. | |
| TunerOutput | 8372 | Tuner: Whether to output tuner results and logs to the file system. | |
| PreAnalyticcenter | 8374 | 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) | |
| NetCuts | 8382 | Determines the addition of multi-commodity network cuts to a problem. The parameter is defined as a bit string, and values 1, 2, 4 can be summed up if the user wants more classes of cuts to be added. | |
| LPFlags | 8385 | A bit-vector control which defines the algorithm for solving an LP problem or the initial LP relaxation of a MIP problem. | |
| MIPKappaFreq | 8386 | Branch and Bound: Specifies how frequently the basis condition number (also known as kappa) should be calculated during the branch-and-bound search. | |
| ObjScaleFactor | 8387 | 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. | |
| TreeFileLogInterval | 8389 | 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. | |
| IgnoreContainerCpuLimit | 8390 | ||
| IgnoreContainerMemoryLimit | 8391 | ||
| MIPDualReductions | 8392 | Branch and Bound: Limits operations that can reduce the MIP solution space. | |
| GenconsDualReductions | 8395 | 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. | |
| PwlDualReductions | 8396 | 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. | |
| BarFailIterLimit | 8398 | Newton barrier: The maximum number of consecutive iterations that fail to improve the solution in the barrier algorithm. | |
| AutoScaling | 8406 | Whether the Optimizer should automatically select between different scaling algorithms. If the SCALING control is set, no automatic scaling will be applied. | |
| GenconsAbsTransformation | 8408 | This control specifies the reformulation method for absolute value general constraints at the beginning of the search. | |
| ComputeJobPriority | 8409 | Selects the priority that will be used for remote optimization jobs. | |
| PreFolding | 8410 | Presolve: Determines if a folding procedure should be used to aggregate continuous columns in an equitable partition. | |
| Compute | 8411 | Controls whether the next solve is performed directly or on an Insight Compute Interface. | |
| NetStallLimit | 8412 | Limit the number of degenerate pivots of the network simplex algorithm, before switching to either primal or dual simplex, depending on ALGAFTERNETWORK. | |
| SerializePreIntSol | 8413 | Setting SERIALIZEPREINTSOL to 1 will ensure that the preintsol callback will always be fired in a deterministic order during a parallel MIP solve. | |
| NumericalEmphasis | 8416 | How much emphasis to place on numerical stability instead of solve speed. | |
| PwlNonConvexTransformation | 8420 | 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. | |
| MipComponents | 8421 | 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. | |
| MipConcurrentNodes | 8422 | 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. | |
| MipConcurrentSolves | 8423 | 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. | |
| OutputControls | 8424 | 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. | |
| SiftSwitch | 8425 | Determines which algorithm to use for solving the subproblems during sifting. | |
| HeurEmphasis | 8427 | 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. | |
| BarRefIter | 8431 | 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. | |
| ComputeLog | 8434 | Controls how the run log is fetched when a solve is performed on an Insight Compute Interface. | |
| SiftPresolveOps | 8435 | Determines the presolve operations for solving the subproblems during the sifting algorithm. | |
| CheckInputData | 8436 | Check input arrays for bad data. | |
| EscapeNames | 8440 | 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. | |
| IOTimeout | 8442 | The maximum number of seconds to wait for an I/O operation before it is cancelled. | |
| AutoCutting | 8446 | 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. | |
| CallbackCheckTimeDelay | 8451 | Minimum delay in milliseconds between two consecutive executions of the CHECKTIME callback in the same solution process | |
| MultiObjOps | 8457 | Modifies the behaviour of the optimizer when solving multi-objective problems. | |
| MultiObjLog | 8458 | Log level for multi-objective optimization. | |
| BackgroundMaxThreads | 8461 | Limit the number of threads to use in background jobs (for example in parallel to the root cut loop). | |
| BackgroundSelect | 8463 | Select which tasks to run in background jobs (for example in parallel to the root cut loop). | |
| GlobalSpatialBranchIfPreferOrig | 8465 | Whether spatial branchings on original variables should be preferred over branching on auxiliary variables that were introduced by the reformulation of the global solver. | |
| PreConfiguration | 8470 | 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. | |
| FeasibilityJump | 8471 | 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. | |
| IISOps | 8472 | 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 control has an effect only on the deletion filter of the IIS procedure. | |
| RLTCuts | 8476 | Determines whether RLT cuts should be separated in the Xpress Global Solver. | |
| HeursearchBackgroundSelect | 8477 | Select which large neighborhood searches to run in the background (for example in parallel to the root cut loop). | |
| AlternativeRedCosts | 8478 | ||
| HeurShiftProp | 8479 | 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. | |
| MaxCutTime | 8149 | 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. | |
| MaxStallTime | 8443 | The maximum time in seconds that the Optimizer will continue to search for improving solution after finding a new incumbent. | |
| TunerMaxTime | 8364 | Tuner: The maximum time in seconds that the tuner will run before it terminates. | |
| MatrixTol | 7001 | 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. | |
| PivotTol | 7002 | 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. | |
| FeasTol | 7003 | 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. | |
| OutputTol | 7004 | Zero tolerance on print values. | |
| SOSRefTol | 7005 | 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. | |
| OptimalityTol | 7006 | 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. | |
| EtaTol | 7007 | 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. | |
| RelPivotTol | 7008 | 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. | |
| MIPTol | 7009 | Branch and Bound: This is the tolerance within which a decision variable's value is considered to be integral. | |
| MipTolTarget | 7010 | Target MIPTOL value used by the automatic MIP solution refiner as defined by REFINEOPS. Negative and zero values are ignored. | |
| BarPerturb | 7011 | 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. | |
| MIPAddCutoff | 7012 | 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. | |
| MIPAbsCutoff | 7013 | 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. | |
| MIPRelCutoff | 7014 | Branch and Bound: Percentage of the LP solution 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. | |
| PseudoCost | 7015 | 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. | |
| Penalty | 7016 | 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). | |
| BigM | 7018 | The infeasibility penalty used if the "Big M" method is implemented. | |
| MIPAbsStop | 7019 | 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. |
|
| MIPRelStop | 7020 | 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. |
|
| CrossoverAccuracyTol | 7023 | 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. | |
| PrimalPerturb | 7024 | 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. | |
| DualPerturb | 7025 | 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. | |
| BarObjScale | 7026 | Defines how the barrier scales the objective. | |
| BarRhsScale | 7027 | Defines how the barrier scales the right hand side. | |
| CholeskyTol | 7032 | 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. | |
| BarGapStop | 7033 | Newton barrier: 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. | |
| BarDualStop | 7034 | Newton barrier: 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. | |
| BarPrimalStop | 7035 | Newton barrier: 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. | |
| BarStepStop | 7036 | 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. | |
| ElimTol | 7042 | The Markowitz tolerance for the elimination phase of the presolve. | |
| MarkowitzTol | 7047 | The Markowitz tolerance used for the factorization of the basis matrix. | |
| MIPAbsGapNotify | 7064 | 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. | |
| MIPRelGapNotify | 7065 | 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. | |
| BarLargeBound | 7067 | Threshold for the barrier to handle large bounds. | |
| PPFactor | 7069 | The partial pricing candidate list sizing parameter. | |
| RepairIndefiniteQMax | 7071 | ||
| BarGapTarget | 7073 | 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. | |
| DummyControl | 7075 | ||
| BarStartWeight | 7076 | 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. | |
| BarFreeScale | 7077 | Defines how the barrier algorithm scales free variables. | |
| SbEffort | 7086 | Adjusts the overall amount of effort when using strong branching to select an infeasible MIP entity to branch on. | |
| HeurDiveRandomize | 7089 | 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. | |
| HeurSearchEffort | 7090 | Adjusts the overall level of the local search heuristics. | |
| CutFactor | 7091 | 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. | |
| EigenValueTol | 7097 | A quadratic matrix is considered not to be positive semi-definite, if its smallest eigenvalue is smaller than the negative of this value. | |
| IndLinBigM | 7099 | 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. | |
| TreeMemorySavingTarget | 7100 | 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. | |
| IndPreLinBigM | 7102 | 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. | |
| RelaxTreeMemoryLimit | 7105 | 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. | |
| MIPAbsGapNotifyObj | 7108 | 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. | |
| MIPAbsGapNotifyBound | 7109 | 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. | |
| PresolveMaxGrow | 7110 | 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. | |
| HeurSearchTargetSize | 7112 | ||
| CrossOverRelPivotTol | 7113 | ||
| CrossOverRelPivotTolSafe | 7114 | ||
| DetLogFreq | 7116 | ||
| MaxImpliedBound | 7120 | Presolve: When tighter bounds are calculated during MIP preprocessing, only bounds whose absolute value are smaller than MAXIMPLIEDBOUND will be applied to the problem. | |
| FeasTolTarget | 7121 | This specifies the target feasibility tolerance for the solution refiner. | |
| OptimalityTolTarget | 7122 | This specifies the target optimality tolerance for the solution refiner. | |
| PreComponentsEffort | 7124 | 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. | |
| LPLogDelay | 7127 | Time interval between two LP log lines. | |
| HeurDiveIterLimit | 7128 | Branch and Bound: Simplex iteration limit for reoptimizing during the diving heuristic. | |
| BarKernel | 7130 | Newton barrier: Defines how centrality is weighted in the barrier algorithm. | |
| FeasTolPerturb | 7132 | 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. | |
| CrossOverFeasWeight | 7133 | ||
| LUPivotTol | 7139 | ||
| MIPRestartGapThreshold | 7140 | Branch and Bound: Initial gap threshold to delay in-tree restart. The restart is delayed initially if the gap, given as a fraction between 0 and 1, is below this threshold. The optimizer adjusts the threshold every time a restart is delayed. Note that there are other criteria that can delay or prevent a restart. | |
| NodeProbingEffort | 7141 | Adjusts the overall level of node probing. | |
| Inputtol | 7143 | 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. | |
| MIPRestartFactor | 7145 | 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. | |
| BarObjPerturb | 7146 | Defines how the barrier perturbs the objective. | |
| CpiAlpha | 7149 | decay term for confined primal integral computation. | |
| GlobalSpatialBranchPropagationEffort | 7152 | Limits the effort that is spent on propagation during spatial branching. | |
| GlobalSpatialBranchCuttingEffort | 7153 | Limits the effort that is spent on creating cuts during spatial branching. | |
| GlobalBoundingBox | 7154 | 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. | |
| TimeLimit | 7158 | 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. | |
| SolTimeLimit | 7159 | 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. | |
| RepairInfeasTimeLimit | 7160 | Overall time limit for the repairinfeas tool | |
| MPSRHSName | 6001 | 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. | |
| MPSObjName | 6002 | 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. | |
| MPSRangeName | 6003 | 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. | |
| MPSBoundName | 6004 | 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. | |
| OutputMask | 6005 | 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. | |
| TunerMethodFile | 6017 | Tuner: Defines a file from which the tuner can read user-defined tuner method. | |
| TunerOutputPath | 6018 | Tuner: Defines a root path to which the tuner writes the result file and logs. | |
| TunerSessionName | 6019 | Tuner: Defines a session name for the tuner. | |
| ComputeExecService | 6022 | Selects the Insight execution service that will be used for solving remote optimizations. | |
| Msp_DuplicateSolutionsPolicy | 6203 | ||
| Msp_DefaultUserSolFeasTol | 6209 | ||
| Msp_DefaultUserSolMipTol | 6210 | ||
| Msp_IncludeProbNameInLogging | 6211 | ||
| Msp_WriteSlxSolLogging | 6212 | ||
| Msp_EnableSlackStorage | 6213 | ||
| Msp_OutputLog | 6214 | ||
| Msp_Sol_FeasTol | 6402 | ||
| Msp_Sol_MipTol | 6403 | ||
| Msp_Sol_BitFieldsUsr | 6406 | ||
| Mse_CallbackCullSols_MipObject | 6601 | ||
| Mse_CallbackCullSols_Diversity | 6602 | ||
| Mse_CallbackCullSols_ModObject | 6603 | ||
| Mse_OptimizeDiversity | 6607 | ||
| Mse_OutputTol | 6609 | ||
| Mse_OutputLog | 6610 | ||
| NlpFuncEval | 12312 | ||
| NlpLog | 12316 | ||
| NlpEvaluate | 12334 | ||
| NlpPresolve | 12344 | ||
| LocalSolver | 12352 | ||
| NlpStopOutOfRange | 12354 | ||
| NlpThreadSafeUserFunc | 12359 | ||
| NlpJacobian | 12360 | ||
| NlpHessian | 12361 | ||
| MultiStart | 12362 | ||
| MultiStart_Threads | 12363 | ||
| MultiStart_MaxSolves | 12364 | ||
| MultiStart_MaxTime | 12365 | ||
| NlpMaxTime | 12366 | ||
| NlpDerivatives | 12373 | ||
| NlpReformulate | 12392 | ||
| NlpPresolveOps | 12393 | ||
| MultiStart_Log | 12395 | ||
| MultiStart_Seed | 12396 | ||
| MultiStart_PoolSize | 12397 | ||
| NlpPostsolve | 12398 | ||
| NlpDeterministic | 12399 | ||
| NlpPresolveLevel | 12402 | ||
| NlpProbing | 12403 | ||
| NlpCalcThreads | 12405 | ||
| NlpThreads | 12406 | ||
| NlpFindIV | 12413 | ||
| NlpLinQuadBR | 12414 | ||
| NLPSolver | 12417 | ||
| SlpAlgorithm | 12301 | ||
| SlpAugmentation | 12302 | ||
| SlpBarLimit | 12303 | ||
| SlpCascade | 12304 | ||
| SlpCascadeNLimit | 12306 | ||
| SlpDampStart | 12308 | ||
| SlpCutStrategy | 12310 | ||
| SlpDeltaZLimit | 12311 | ||
| SlpInfeasLimit | 12314 | ||
| SlpIterLimit | 12315 | ||
| SlpSameCount | 12317 | ||
| SlpSameDamp | 12319 | ||
| SlpSBStart | 12320 | ||
| SlpXCount | 12321 | ||
| SlpXLimit | 12322 | ||
| SlpDelayUpdateRows | 12329 | ||
| SlpAutoSave | 12330 | ||
| SlpAnalyze | 12332 | ||
| SlpOCount | 12333 | ||
| SlpMipAlgorithm | 12336 | ||
| SlpMipRelaxStepBounds | 12337 | ||
| SlpMipFixStepBounds | 12338 | ||
| SlpMipIterLimit | 12339 | ||
| SlpMipCutoffLimit | 12340 | ||
| SlpMipOCount | 12341 | ||
| SlpMipDefaultAlgorithm | 12343 | ||
| SlpMipLog | 12347 | ||
| SlpDeltaOffset | 12348 | ||
| SlpUpdateOffset | 12349 | ||
| SlpErrorOffset | 12350 | ||
| SlpSBRowOffset | 12351 | ||
| SlpVCount | 12356 | ||
| SlpVLimit | 12357 | ||
| SlpECFCheck | 12369 | ||
| SlpMipCutOffCount | 12370 | ||
| SlpWCount | 12374 | ||
| SlpUnFinishedLimit | 12376 | ||
| SlpConvergenceOps | 12377 | ||
| SlpZeroCriterion | 12378 | ||
| SlpZeroCriterionStart | 12379 | ||
| SlpZeroCriterionCount | 12380 | ||
| SlpLSPatternLimit | 12381 | ||
| SlpLSIterLimit | 12382 | ||
| SlpLSStart | 12383 | ||
| SlpPenaltyInfoStart | 12384 | ||
| SlpFilter | 12387 | ||
| SlpTraceMaskOps | 12388 | ||
| SlpLSZeroLimit | 12389 | ||
| SlpHeurStrategy | 12400 | ||
| SlpBarCrossoverStart | 12408 | ||
| SlpBarStallingLimit | 12409 | ||
| SlpBarStallingObjLimit | 12410 | ||
| SlpBarStartOps | 12411 | ||
| SlpGridHeurSelect | 12412 | ||
| NlpInfinity | 12119 | ||
| NlpZero | 12123 | ||
| NlpDefaultIV | 12145 | ||
| NlpOptTime | 12147 | ||
| NlpValidationTol_A | 12165 | ||
| NlpValidationTol_R | 12166 | ||
| NlpValidationIndex_A | 12167 | ||
| NlpValidationIndex_R | 12168 | ||
| NlpPrimalIntegralRef | 12175 | ||
| NlpPrimalIntegralAlpha | 12176 | ||
| NlpObjVal | 12179 | ||
| NlpPresolveZero | 12193 | ||
| NlpMeritLambda | 12197 | ||
| MsMaxBoundRange | 12204 | ||
| NlpValidationTol_K | 12205 | ||
| NlpPresolve_ElimTol | 12206 | ||
| NlpValidationTarget_R | 12209 | ||
| NlpValidationTarget_K | 12210 | ||
| NlpValidationFactor | 12211 | ||
| SlpDamp | 12103 | ||
| SlpDampExpand | 12104 | ||
| SlpDampShrink | 12105 | ||
| SlpDelta_A | 12106 | ||
| SlpDelta_R | 12107 | ||
| SlpDelta_Z | 12108 | ||
| SlpDeltaCost | 12109 | ||
| SlpDeltaMaxCost | 12110 | ||
| SlpDJTol | 12112 | ||
| SlpErrorCost | 12113 | ||
| SlpErrorMaxCost | 12114 | ||
| SlpErrorTol_A | 12116 | ||
| SlpExpand | 12118 | ||
| SlpMaxWeight | 12120 | ||
| SlpMinWeight | 12121 | ||
| SlpShrink | 12122 | ||
| SlpCTol | 12124 | ||
| SlpATol_A | 12125 | ||
| SlpATol_R | 12126 | ||
| SlpMTol_A | 12127 | ||
| SlpMTol_R | 12128 | ||
| SlpItol_A | 12129 | ||
| SlpITol_R | 12130 | ||
| SlpSTol_A | 12131 | ||
| SlpSTol_R | 12132 | ||
| SlpMVTol | 12133 | ||
| SlpXTol_A | 12134 | ||
| SlpXTol_R | 12135 | ||
| SlpDefaultStepBound | 12136 | ||
| SlpDampMax | 12137 | ||
| SlpDampMin | 12138 | ||
| SlpDeltaCostFactor | 12139 | ||
| SlpErrorCostFactor | 12140 | ||
| SlpErrorTol_P | 12141 | ||
| SlpCascadeTol_PA | 12142 | ||
| SlpCascadeTol_PR | 12143 | ||
| SlpOTol_A | 12150 | ||
| SlpOTol_R | 12151 | ||
| SlpDelta_X | 12152 | ||
| SlpErrorCosts | 12153 | ||
| SlpGranularity | 12157 | ||
| SlpMipCutoff_A | 12158 | ||
| SlpMipCutoff_R | 12159 | ||
| SlpMipOtol_A | 12160 | ||
| SlpMipOtol_R | 12161 | ||
| SlpEscalation | 12169 | ||
| SlpObjToPenaltyCost | 12170 | ||
| SlpShrinkBias | 12171 | ||
| SlpFeastolTarget | 12172 | ||
| SlpOptimalityTolTarget | 12173 | ||
| SlpDelta_Infinity | 12174 | ||
| SlpVTol_A | 12177 | ||
| SlpVTol_R | 12178 | ||
| SlpETol_A | 12180 | ||
| SlpETol_R | 12181 | ||
| SlpEVTol_A | 12182 | ||
| SlpEVTol_R | 12183 | ||
| SlpDelta_Zero | 12184 | ||
| SlpMinSBFactor | 12185 | ||
| SlpClampValidationTol_A | 12186 | ||
| SlpClampValidationTol_R | 12187 | ||
| SlpClampShrink | 12188 | ||
| SlpEcfTol_A | 12189 | ||
| SlpEcfTol_R | 12190 | ||
| SlpWTol_A | 12191 | ||
| SlpWTol_R | 12192 | ||
| SlpMatrixTol | 12194 | ||
| SlpDRFixRange | 12195 | ||
| SlpDRColTol | 12196 | ||
| SlpMipErrorTol_A | 12198 | ||
| SlpMipErrorTol_R | 12199 | ||
| SlpCDTol_A | 12200 | ||
| SlpCDTol_R | 12201 | ||
| SlpEnforceMaxCost | 12202 | ||
| SlpEnforceCostShrink | 12203 | ||
| SlpDRColDjTol | 12208 | ||
| SlpBarStallingTol | 12212 | ||
| SlpObjThreshold | 12213 | ||
| SlpBoundThreshold | 12214 | ||
| KnitroParamNewPoint | 101001 | ||
| KnitroParamHonorBbnds | 101002 | ||
| KnitroParamAlgorithm | 101003 | ||
| KnitroParamBarMuRule | 101004 | ||
| KnitroParamBarFeasible | 101006 | ||
| KnitroParamGradOpt | 101007 | ||
| KnitroParamHessOpt | 101008 | ||
| KnitroParamBarInitPt | 101009 | ||
| KnitroParamMaxCGIt | 101013 | ||
| KnitroParamMaxIt | 101014 | ||
| KnitroParamOutLev | 101015 | ||
| KnitroParamScale | 101017 | ||
| KnitroParamSOC | 101019 | ||
| KnitroParamDelta | 101020 | ||
| KnitroParamBarFeasModeTol | 101021 | ||
| KnitroParamFeastol | 101022 | ||
| KnitroParamFeasTolAbs | 101023 | ||
| KnitroParamBarInitMu | 101025 | ||
| KnitroParamObjRange | 101026 | ||
| KnitroParamOptTol | 101027 | ||
| KnitroParamOptTolAbs | 101028 | ||
| KnitroParamPivot | 101029 | ||
| KnitroParamXTol | 101030 | ||
| KnitroParamDebug | 101031 | ||
| KnitroParamMultiStart | 101033 | ||
| KnitroParamMSMaxSolves | 101034 | ||
| KnitroParamMsMaxBndRange | 101035 | ||
| KnitroParamLMSize | 101038 | ||
| KnitroParamMaxCrossIt | 101039 | ||
| KnitroParamBLASOption | 101042 | ||
| KnitroParamBarMaxRefactor | 101043 | ||
| KnitroParamBarMaxBacktrack | 101044 | ||
| KnitroParamBarPenRule | 101049 | ||
| KnitroParamBarPenCons | 101050 | ||
| KnitroParamMSNumToSave | 101051 | ||
| KnitroParamMSSaveTol | 101052 | ||
| KnitroParamMSTerminate | 101054 | ||
| KnitroParamMSStartPtRange | 101055 | ||
| KnitroParamInfeasTol | 101056 | ||
| KnitroParamLinSolver | 101057 | ||
| KnitroParamBarDirectInterval | 101058 | ||
| KnitroParamPresolve | 101059 | ||
| KnitroParamPresolveTol | 101060 | ||
| KnitroParamBarSwitchRule | 101061 | ||
| KnitroParamMATerminate | 101063 | ||
| KnitroParamMSSeed | 101066 | ||
| KnitroParamBarRelaxCons | 101077 | ||
| KnitroParamMIPMethod | 102001 | ||
| KnitroParamMIPBranchRule | 102002 | ||
| KnitroParamMIPSelectRule | 102003 | ||
| KnitroParamMIPIntGapAbs | 102004 | ||
| KnitroParamMIPIntGapRel | 102005 | ||
| KnitroParamMIPOutLevel | 102010 | ||
| KnitroParamMIPOutInterval | 102011 | ||
| KnitroParamMIPDebug | 102013 | ||
| KnitroParamMIPImplicatns | 102014 | ||
| KnitroParamMIPGUBBranch | 102015 | ||
| KnitroParamMIPKnapsack | 102016 | ||
| KnitroParamMIPRounding | 102017 | ||
| KnitroParamMIPRootAlg | 102018 | ||
| KnitroParamMIPLPAlg | 102019 | ||
| KnitroParamMIPMaxNodes | 102021 | ||
| KnitroParamMIPHeuristic | 102022 | ||
| KnitroParamMIPHeurMaxIt | 102023 | ||
| KnitroParamMIPPseudoint | 102026 | ||
| KnitroParamMIPStringMaxIt | 102027 | ||
| KnitroParamMIPStrongCandLim | 102028 | ||
| KnitroParamMIPStrongLevel | 102029 | ||
| KnitroParamParNumThreads | 103001 |
See Also
Reference
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