XpressProblem

Optimizer interface that allows modeling by objects. More...

Classes
class	BranchObject
	Subclass of XPRSbranchobject that allows using Variable instances to specify bounds and constraints. More...
class	CallbackAPI
	API for registering callbacks. More...

Public Member Functions
	XpressProblem ()
	Create a problem without internal name.
	XpressProblem (std::optional< std::string > problemName)
	Create a problem with internal name.
	XpressProblem (std::optional< std::string > problemName, std::optional< std::string > licensePath)
	Create a problem with internal name and non-default license.
template<typename C >
auto	addConstraint (ConstraintDefinition< C > def) -> C
	Add a single constraint to this problem.
template<typename I , is-integral(I) , typename Func0 , typename C = result-type(Func0,I)::constraint_type, is-invocable(Func0, ConstraintDefinition< C >, I) >
auto	addConstraints (I const &count, Func0 defs) -> xpress::Iterable< C >
	Add multiple constraints of the same type to the problem.
template<typename I , typename T = iter-value-type(I), typename Func0 , typename C = result-type(Func0,T)::constraint_type, is-invocable(Func0, ConstraintDefinition< C >, T) >
auto	addConstraints (I dataBegin, I dataEnd, Func0 defs) -> xpress::Iterable< std::pair< T, C > >
	Add multiple constraints of the same type to the problem.
template<typename I1 , typename I2 , is-integral(I1) , is-integral(I2) , typename Func0 , typename C = result-type(Func0,I1 ,I2)::constraint_type, is-invocable(Func0, ConstraintDefinition< C >, I1, I2) >
auto	addConstraints (I1 count1, I2 count2, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename I1 , typename I2 , typename I3 , is-integral(I1) , is-integral(I2) , is-integral(I3) , typename Func0 , typename C = result-type(Func0,I1 ,I2 ,I3)::constraint_type, is-invocable(Func0, ConstraintDefinition< C >, I1, I2, I3) >
auto	addConstraints (I1 count1, I2 count2, I3 count3, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename I1 , typename I2 , typename I3 , typename I4 , is-integral(I1) , is-integral(I2) , is-integral(I3) , is-integral(I4) , typename Func0 , typename C = result-type(Func0,I1 ,I2 ,I3 ,I4)::constraint_type, is-invocable(Func0, ConstraintDefinition< C >, I1, I2, I3, I4) >
auto	addConstraints (I1 count1, I2 count2, I3 count3, I4 count4, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename I1 , typename I2 , typename I3 , typename I4 , typename I5 , is-integral(I1) , is-integral(I2) , is-integral(I3) , is-integral(I4) , is-integral(I5) , typename Func0 , typename C = result-type(Func0,I1 ,I2 ,I3 ,I4 ,I5)::constraint_type, is-invocable(Func0, ConstraintDefinition< C >, I1, I2, I3, I4, I5) >
auto	addConstraints (I1 count1, I2 count2, I3 count3, I4 count4, I5 count5, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename Iter0 , typename Iter1 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename Func0 , typename C = result-type(Func0,K1 ,K2)::constraint_type, is-iterable(Iter0) , is-iterable(Iter1) , is-invocable(Func0, ConstraintDefinition< C >, K1, K2) >
auto	addConstraints (Iter0 const &iterable1, Iter1 const &iterable2, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename Func0 , typename C = result-type(Func0,K1 ,K2 ,K3)::constraint_type, is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-invocable(Func0, ConstraintDefinition< C >, K1, K2, K3) >
auto	addConstraints (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename Iter3 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename K4 = element-type(Iter3), typename Func0 , typename C = result-type(Func0,K1 ,K2 ,K3 ,K4)::constraint_type, is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-iterable(Iter3) , is-invocable(Func0, ConstraintDefinition< C >, K1, K2, K3, K4) >
auto	addConstraints (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Iter3 const &iterable4, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename Iter3 , typename Iter4 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename K4 = element-type(Iter3), typename K5 = element-type(Iter4), typename Func0 , typename C = result-type(Func0,K1 ,K2 ,K3 ,K4 ,K5)::constraint_type, is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-iterable(Iter3) , is-iterable(Iter4) , is-invocable(Func0, ConstraintDefinition< C >, K1, K2, K3, K4, K5) >
auto	addConstraints (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Iter3 const &iterable4, Iter4 const &iterable5, Func0 makeConstraint) -> void
	Add multiple constraints to this problem.
template<typename Strm0 , typename T = element-type(Strm0), typename Func0 , typename C = result-type(Func0,T)::constraint_type, is-stream(Strm0) , is-invocable(Func0, ConstraintDefinition< C >, T const &) >
auto	addConstraints (Strm0 const &data, Func0 defs) -> xpress::Iterable< C >
	Add multiple constraints of the same type to the problem.
template<typename Strm0 , typename C = typename Strm0::value_type::constraint_type, is-stream(Strm0) >
auto	addConstraints (Strm0 const &defs) -> xpress::Iterable< C >
	Add multiple constraints of the same type to the problem.
auto	addCut (int cuttype, InequalityDefinition cut) -> int
	Add a cut at the current node.
auto	addManagedCut (bool globallyValid, InequalityDefinition cut) -> void
	Add a managed cut at the current node.
void	addMipSol (int length, Array< double const > const &solval, Array< int const > const &colind, std::optional< std::string > const &name)
	Adds a new feasible, infeasible or partial MIP solution for the problem to the Optimizer.
auto	addMipSol (xpress::SizedArray< double const > const &val, xpress::SizedArray< int const > const &ind) -> void
	Add a MIP solution.
auto	addMipSol (xpress::SizedArray< double const > const &val, xpress::SizedArray< int const > const &ind, std::optional< std::string > name) -> void
	Add a MIP solution.
auto	addMipSol (xpress::SizedArray< double const > const &values, xpress::SizedArray< Variable const > const &variables, std::optional< std::string > name) -> void
	Adds a feasible, infeasible or partial MIP solution for the problem to the Optimizer.
auto	addObjective (xpress::objects::Expression obj, int priority, double weight) -> void
	Add a objective function.
auto	addVariable () -> xpress::objects::Variable
	Add a single variable to this problem.
auto	addVariable (ColumnType type) -> xpress::objects::Variable
	Add a single variable to this problem.
auto	addVariable (ColumnType type, std::optional< std::string > name) -> xpress::objects::Variable
	Add a single variable to this problem.
auto	addVariable (double lb, double ub, ColumnType type) -> xpress::objects::Variable
	Add a single variable to this problem.
auto	addVariable (double lb, double ub, ColumnType type, double limit, std::optional< std::string > name) -> xpress::objects::Variable
	Add a single variable to this problem.
auto	addVariable (double lb, double ub, ColumnType type, std::optional< std::string > name) -> xpress::objects::Variable
	Add a single variable to this problem.
auto	addVariable (std::optional< std::string > name) -> xpress::objects::Variable
	Add a single variable to this problem.
template<typename C , is-integral(C) >
auto	addVariables (C dim) -> xpress::VariableBuilder::VariableArrayBuilder< C >
	Create an 1-dimensional array of variables.
template<typename C1 , typename C2 , is-integral(C1) , is-integral(C2) >
auto	addVariables (C1 dim1, C2 dim2) -> xpress::VariableBuilder::VariableArray2Builder< C1, C2 >
	Create an 2-dimensional array of variables.
template<typename C1 , typename C2 , typename C3 , is-integral(C1) , is-integral(C2) , is-integral(C3) >
auto	addVariables (C1 dim1, C2 dim2, C3 dim3) -> xpress::VariableBuilder::VariableArray3Builder< C1, C2, C3 >
	Create an 3-dimensional array of variables.
template<typename C1 , typename C2 , typename C3 , typename C4 , is-integral(C1) , is-integral(C2) , is-integral(C3) , is-integral(C4) >
auto	addVariables (C1 dim1, C2 dim2, C3 dim3, C4 dim4) -> xpress::VariableBuilder::VariableArray4Builder< C1, C2, C3, C4 >
	Create an 4-dimensional array of variables.
template<typename C1 , typename C2 , typename C3 , typename C4 , typename C5 , is-integral(C1) , is-integral(C2) , is-integral(C3) , is-integral(C4) , is-integral(C5) >
auto	addVariables (C1 dim1, C2 dim2, C3 dim3, C4 dim4, C5 dim5) -> xpress::VariableBuilder::VariableArray5Builder< C1, C2, C3, C4, C5 >
	Create an 5-dimensional array of variables.
template<typename Iter0 , typename K1 = element-type(Iter0), is-iterable(Iter0) >
auto	addVariables (Iter0 const &iterable1) -> xpress::VariableBuilder::VariableMapBuilder< K1 >
	Create an 1-dimensional map of variables.
template<typename Iter0 , typename Iter1 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), is-iterable(Iter0) , is-iterable(Iter1) >
auto	addVariables (Iter0 const &iterable1, Iter1 const &iterable2) -> xpress::VariableBuilder::VariableMap2Builder< K1, K2 >
	Create an 2-dimensional map of variables.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) >
auto	addVariables (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3) -> xpress::VariableBuilder::VariableMap3Builder< K1, K2, K3 >
	Create an 3-dimensional map of variables.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename Iter3 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename K4 = element-type(Iter3), is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-iterable(Iter3) >
auto	addVariables (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Iter3 const &iterable4) -> xpress::VariableBuilder::VariableMap4Builder< K1, K2, K3, K4 >
	Create an 4-dimensional map of variables.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename Iter3 , typename Iter4 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename K4 = element-type(Iter3), typename K5 = element-type(Iter4), is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-iterable(Iter3) , is-iterable(Iter4) >
auto	addVariables (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Iter3 const &iterable4, Iter4 const &iterable5) -> xpress::VariableBuilder::VariableMap5Builder< K1, K2, K3, K4, K5 >
	Create an 5-dimensional map of variables.
auto	bndSA (int len, xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double > const &lblower, xpress::SizedArray< double > const &lbupper, xpress::SizedArray< double > const &ublower, xpress::SizedArray< double > const &ubupper) -> void
	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds.
void	bndSA (int ncols, Array< int const > const &colind, Array< double > const &lblower, Array< double > const &lbupper, Array< double > const &ublower, Array< double > const &ubupper)
	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds.
auto	bndSA (xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double > const &lblower, xpress::SizedArray< double > const &lbupper, xpress::SizedArray< double > const &ublower, xpress::SizedArray< double > const &ubupper) -> void
	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds.
auto	chgBounds (int j, double lb, double ub) -> void
	Change bounds of a single column.
void	chgBounds (int nbounds, Array< int const > const &colind, Array< char const > const &bndtype, Array< double const > const &bndval)
	Used to change the bounds on columns in the matrix.
auto	chgBounds (xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< char const > const &bndType, xpress::SizedArray< double const > const &bndValue) -> void
	Change bounds for multiple variables.
auto	chgCoef (Inequality row, Variable variable, double coefficient) -> xpress::objects::XpressProblem &
	Changes the coefficient for variable in row in the linear matrix.
void	chgCoef (int row, int col, double coef)
	Used to change a single coefficient in the matrix.
auto	chgCoefs (xpress::SizedArray< Inequality const > const &row, xpress::SizedArray< Variable const > const &variable, xpress::SizedArray< double const > const &coefficient) -> xpress::objects::XpressProblem &
	Change coefficients in the linear matrix.
void	chgColType (int ncols, Array< int const > const &colind, Array< char const > const &coltype)
	Used to change the type of a specified set of columns in the matrix.
auto	chgColType (xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< ColumnType const > const &colType) -> void
	Change types for multiple variables.
void	chgObj (int ncols, Array< int const > const &colind, Array< double const > const &objcoef)
	Used to change the objective function coefficients.
auto	chgObj (Variable variable, double coefficient) -> xpress::objects::XpressProblem &
	Change objective function coefficient.
auto	chgObj (xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double const > const &coefficients) -> xpress::objects::XpressProblem &
	Change objective function coefficients.
void	chgObjN (int objidx, int ncols, Array< int const > const &colind, Array< double const > const &objcoef)
	Modifies one or more coefficients of an objective function in a multi-objective problem.
auto	chgObjN (int objidx, Variable variable, double coefficient) -> xpress::objects::XpressProblem &
	Change an objective function coefficient for a multi-objective problem.
auto	chgObjN (int objidx, xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double const > const &coefficients) -> xpress::objects::XpressProblem &
	Change objective function coefficients for a multi-objective problem.
void	chgRhs (int nrows, Array< int const > const &rowind, Array< double const > const &rhs)
	Used to change right—hand side values of the problem.
auto	chgRhs (xpress::SizedArray< Inequality const > const &rows, xpress::SizedArray< double const > const &newRHS) -> void
	Change right-hand side for multiple rows.
void	chgRhsRange (int nrows, Array< int const > const &rowind, Array< double const > const &rng)
	Used to change the range for a row of the problem matrix.
auto	chgRhsRange (xpress::SizedArray< Inequality const > const &rows, xpress::SizedArray< double const > const &newRange) -> void
	Change right-hand side ranges for multiple rows.
void	chgRowType (int nrows, Array< int const > const &rowind, Array< char const > const &rowtype)
	Used to change the type of a row in the matrix.
auto	chgRowType (xpress::SizedArray< Inequality const > const &rows, xpress::SizedArray< RowType const > const &rowType) -> void
	Change types for multiple rows.
auto	createBranchObject () -> xpress::objects::XpressProblem::BranchObject *
	Create a branch object.
virtual auto	delCols (int ncols, xpress::Array< int const > const &colind) -> void override
	Delete columns from this problem.
virtual auto	delGenCons (int nconstraints, xpress::Array< int const > const &conind) -> void override
	Delete constraints from this problem.
auto	delGeneralConstraints (xpress::SizedArray< GeneralConstraint const > const &constraints) -> void
	Delete general constraints from this problem.
auto	delIndicator (Inequality row) -> void
	Delete a single indicator constraint.
auto	delInequalities (xpress::SizedArray< Inequality const > const &rows) -> void
	Delete inequality constraints from this problem.
virtual auto	delPwlCons (int npwls, xpress::Array< int const > const &pwlind) -> void override
	Delete piecewise linear constraints from this problem.
auto	delPwlConstraints (xpress::SizedArray< PWL const > const &pwls) -> void
	Delete PWL constraints from this problem.
virtual auto	delRows (int nrows, xpress::Array< int const > const &rowind) -> void override
	Delete rows from this problem.
virtual auto	delSets (int nsets, xpress::Array< int const > const &sosind) -> void override
	Delete sets from this problem.
auto	delSOS (SOS sos) -> void
	Delete a single SOS from the problem.
auto	delSOS (xpress::SizedArray< SOS const > const &soss) -> void
	Delete special ordered set constraints.
auto	delVariables (xpress::SizedArray< Variable const > const &vars) -> void
	Delete variables from this problem.
auto	generalConstraintForIndex (int index) const -> xpress::objects::GeneralConstraint
	Map a general constraint index to a GeneralConstraint object.
auto	generalConstraintForIndices (int first, int last) const -> std::vector< xpress::objects::GeneralConstraint >
	Map a range of general constraint indices to GeneralConstraint objects.
auto	getCallbackDual (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackDual (Inequality r) -> double
	Get the dual associated with the current callback for a single row.
auto	getCallbackDual (int index) const -> double
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackDuals () const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackDuals (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackDuals (bool *p_available, Array< double > const &duals, int first, int last) const
	Returns the dual values.
auto	getCallbackDuals (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackDuals (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array.
template<typename Strm0 , is-stream(Strm0) >
auto	getCallbackDuals (Strm0 const &rows) -> std::vector< double >
	Get the duals associated with the current callback for a collection of rows.
auto	getCallbackRedCost (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackRedCost (int index) const -> double
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackRedCost (Variable v) -> double
	Get the reduced cost associated with the current callbackfor a single variable.
auto	getCallbackRedCosts () const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackRedCosts (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackRedCosts (bool *p_available, Array< double > const &djs, int first, int last) const
	Returns the reduced costs.
auto	getCallbackRedCosts (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackRedCosts (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array.
template<typename Strm0 , is-stream(Strm0) >
auto	getCallbackRedCosts (Strm0 const &vars) -> std::vector< double >
	Get the reduced costs associated with the current callback for a collection of variables.
auto	getCallbackSlack (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackSlack (Inequality r) -> double
	Get the slack associated with the current callback for a single row.
auto	getCallbackSlack (int index) const -> double
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackSlacks () const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackSlacks (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackSlacks (bool *p_available, Array< double > const &slacks, int first, int last) const
	Returns the slack values.
auto	getCallbackSlacks (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSlacks (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array.
template<typename Strm0 , is-stream(Strm0) >
auto	getCallbackSlacks (Strm0 const &rows) -> std::vector< double >
	Get the slacks associated with the current callback for a collection of rows.
auto	getCallbackSolution () const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackSolution (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackSolution (bool *p_available, Array< double > const &x, int first, int last) const
	Returns the primal values.
auto	getCallbackSolution (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSolution (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackSolution (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSolution (int index) const -> double
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that queries only a single value.
template<typename Strm0 , is-stream(Strm0) >
auto	getCallbackSolution (Strm0 const &vars) -> std::vector< double >
	Get the solution associated with the current callback for a collection of variables.
auto	getCallbackSolution (Variable v) -> double
	Get the solution associated with the current callback for a single variable.
auto	getCoef (Inequality row, Variable variable) -> double
	Query a single coefficient from the linear matrix.
auto	getCoef (int row, int col) -> double
	Returns a single coefficient in the constraint matrix.
auto	getDual (Inequality r) -> double
	Get the dual for a single row.
auto	getDual (int *status, int index) const -> double
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getDual (int index) const -> double
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getDuals () const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getDuals (int *status) const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getDuals (int *status, Array< double > const &duals, int first, int last) const
	Returns the dual values.
auto	getDuals (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getDuals (int first, int last) const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array.
template<typename Strm0 , is-stream(Strm0) >
auto	getDuals (Strm0 const &rows) -> std::vector< double >
	Get the duals for a collection of rows.
auto	getGeneralConstraints () -> std::vector< xpress::objects::GeneralConstraint >
	Get all the general constraints currently defined in this problem.
auto	getIIS (int iis) -> xpress::objects::IIS
	Get the specified IIS.
auto	getIndicator (Inequality row) -> std::optional< xpress::objects::IndicatorObjects >
	Get indicator information for a single row.
auto	getInequalities () -> std::vector< xpress::objects::Inequality >
	Get all the inequalities currently defined in this problem.
auto	getLhsExpression (int row) -> xpress::objects::Expression
	Get the left-hand side of a row as an expression.
auto	getObj (int first, int last) -> std::vector< double >
	Returns the objective function coefficients for the columns in a given range.
auto	getObj (Variable variable) -> double
	Query an objective function coefficient.
auto	getObjN (int objidx, int first, int last) -> std::vector< double >
	For a given objective function, returns the objective coefficients for the columns in a given range.
auto	getObjN (int objidx, Variable variable) -> double
	Query an objective function coefficient.
auto	getPWLs () -> std::vector< xpress::objects::PWL >
	Get all piecewise linear constraints currently defined in this problem.
auto	getRedCost (int *status, int index) const -> double
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getRedCost (int index) const -> double
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getRedCost (Variable v) -> double
	Get the reduced cost for a single variable.
auto	getRedCosts () const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getRedCosts (int *status) const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getRedCosts (int *status, Array< double > const &djs, int first, int last) const
	Returns the reduced costs.
auto	getRedCosts (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getRedCosts (int first, int last) const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array.
template<typename Strm0 , is-stream(Strm0) >
auto	getRedCosts (Strm0 const &vars) -> std::vector< double >
	Get the reduced costs for a collection of variables.
auto	getSlack (Inequality r) -> double
	Get the current slack for a single row.
auto	getSlack (int *status, int index) const -> double
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getSlack (int index) const -> double
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getSlacks () const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getSlacks (int *status) const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getSlacks (int *status, Array< double > const &slacks, int first, int last) const
	Returns the slack values.
auto	getSlacks (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSlacks (int first, int last) const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array.
template<typename Strm0 , is-stream(Strm0) >
auto	getSlacks (Strm0 const &rows) -> std::vector< double >
	Get the current slacks for a collection of rows.
auto	getSolution () const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getSolution (int *status) const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getSolution (int *status, Array< double > const &x, int first, int last) const
	Returns the incumbent solution during or after optimization with XPRSoptimize, XPRSmipoptimize, XPRSlpoptimize or XPRSnlpoptimize.
auto	getSolution (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSolution (int *status, int index) const -> double
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getSolution (int first, int last) const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSolution (int index) const -> double
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that queries only a single value.
template<typename Strm0 , is-stream(Strm0) >
auto	getSolution (Strm0 const &vars) -> std::vector< double >
	Get the current solution for a collection of variables.
auto	getSolution (Variable v) -> double
	Get the current solution for a single variable.
auto	getSOSs () -> std::vector< xpress::objects::SOS >
	Get all the special ordered set constraints currently defined in this problem.
auto	getVariables () -> std::vector< xpress::objects::Variable >
	Get all the variables currently defined in this problem.
auto	inequalitiesForIndices (int first, int last) const -> std::vector< xpress::objects::Inequality >
	Map a range of inequality indices to inequality objects.
auto	inequalityForIndex (int index) const -> xpress::objects::Inequality
	Map an inequality index to an inequality object.
auto	isOriginal () -> bool
	Check whether this model instance is in the original state.
void	loadDelayedRows (int nrows, Array< int const > const &rowind)
	Specifies that a set of rows in the matrix will be treated as delayed rows during a tree search.
auto	loadDelayedRows (xpress::SizedArray< Inequality const > const &rows) -> void
	Marks a set of rows as delayed rows.
void	loadModelCuts (int nrows, Array< int const > const &rowind)
	Specifies that a set of rows in the matrix will be treated as model cuts.
auto	loadModelCuts (xpress::SizedArray< Inequality const > const &rows) -> void
	Marks a set of rows as model cuts.
void	nlpSetInitVal (int nvars, Array< int const > const &colind, Array< double const > const &initial)
	Set the initial value of a variable.
auto	nlpSetInitVal (std::unordered_map< Variable, double > values) -> void
	Set initial values of variables for a non-linear solve.
auto	nlpSetInitVal (xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double const > const &values) -> void
	Set initial values of variables for a non-linear solve.
auto	objSA (int len, xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double > const &lower, xpress::SizedArray< double > const &upper) -> void
	Returns upper and lower sensitivity ranges for specified objective function coefficients.
void	objSA (int ncols, Array< int const > const &colind, Array< double > const &lower, Array< double > const &upper)
	Returns upper and lower sensitivity ranges for specified objective function coefficients.
auto	objSA (xpress::SizedArray< Variable const > const &variables, xpress::SizedArray< double > const &lower, xpress::SizedArray< double > const &upper) -> void
	Returns upper and lower sensitivity ranges for specified objective function coefficients.
auto	pwlForIndex (int index) const -> xpress::objects::PWL
	Map a PWL index to a PWL object.
auto	pwlsForIndices (int first, int last) const -> std::vector< xpress::objects::PWL >
	Map a range of PWL indices to PWL objects.
auto	repairWeightedInfeas (Array< double const > const &lepref, Array< double const > const &gepref, Array< double const > const &lbpref, Array< double const > const &ubpref, char phase2, double delta, std::optional< std::string > const &flags) -> int
	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.
template<typename IMap , typename VMap >
auto	repairWeightedInfeas (VMap const &lepref, VMap const &gepref, IMap const &lbpref, IMap const &ubpref, char phase2, double delta, std::optional< std::string > flags) -> int
	Repair infeasibilities using weights.
auto	rhsSA (int len, xpress::SizedArray< Inequality const > const &rows, xpress::SizedArray< double > const &lower, xpress::SizedArray< double > const &upper) -> void
	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients.
void	rhsSA (int nrows, Array< int const > const &rowind, Array< double > const &lower, Array< double > const &upper)
	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients.
auto	rhsSA (xpress::SizedArray< Inequality const > const &rows, xpress::SizedArray< double > const &lower, xpress::SizedArray< double > const &upper) -> void
	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients.
auto	setIndicator (Variable indicatorVariable, bool indicatorValue, Inequality row) -> void
	Add an indicator constraint to this model.
template<typename I , is-integral(I) , typename Func0 , typename Func1 , typename Func2 , is-invocable(Func0, Variable, int) , is-invocable(Func1, bool, int) , is-invocable(Func2, Inequality, int) >
auto	setIndicators (I count, Func0 indicatorVariable, Func1 indicatorValue, Func2 row) -> void
	Add indicator constraints to this model.
void	setIndicators (int nrows, Array< int const > const &rowind, Array< int const > const &colind, Array< int const > const &complement)
	Specifies that a set of rows in the matrix will be treated as indicator constraints during a tree search.
template<typename Strm0 , typename T = element-type(Strm0), typename Func0 , typename Func1 , typename Func2 , is-stream(Strm0) , is-invocable(Func0, Variable, T) , is-invocable(Func1, bool, T) , is-invocable(Func2, Inequality, T) >
auto	setIndicators (Strm0 const &data, Func0 indicatorVariable, Func1 indicatorValue, Func2 row) -> void
	Add indicator constraints to this model.
auto	setIndicators (xpress::SizedArray< Variable const > const &indicatorVariable, std::vector< bool > const &indicatorValue, xpress::SizedArray< Inequality const > const &row) -> void
	Add indicator constraints to this model.
auto	setObjective (int idx, xpress::objects::Expression obj, int priority, double weight, double abstol, double reltol) -> void
	Set an objective function and its controls.
auto	setObjective (xpress::objects::Expression obj) -> void
	Set the objective function to a expression.
auto	setObjective (xpress::objects::Expression obj, xpress::ObjSense sense) -> void
	Set the objective function to a expression.
void	slpSetDetRow (int nvars, Array< int const > const &colind, Array< int const > const &rowind)
	Set the determining row of a variable.
auto	slpSetDetRow (Variable v, Inequality i) -> void
	Set the determining row of a variable.
auto	sosForIndex (int index) const -> xpress::objects::SOS
	Map an SOS index to an SOS object.
auto	sosForIndices (int first, int last) const -> std::vector< xpress::objects::SOS >
	Map a range of SOS indices to SOS objects.
auto	variableForIndex (int index) const -> xpress::objects::Variable
	Map a variable index to a variable object.
auto	variablesForIndices (int first, int last) const -> std::vector< xpress::objects::Variable >
	Map a range of variable indices to variable objects.
Public Member Functions inherited from xpress::XPRSProblem
	XPRSProblem (bool)
	Create a new instance without allocating a license.
	XPRSProblem (char const *name=nullptr, char const *licpath=nullptr)
	Create a new instance with name and allocating a license.
	~XPRSProblem () noexcept
auto	addAfterObjectiveCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add an afterobjective callback.
auto	addBarIterationCallback (std::function< void(XPRSProblem &, int *)> callback, int prio=0) -> CallbackHandle
	Add a bariteration callback.
auto	addBarlogCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a barlog callback.
auto	addBeforeObjectiveCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a beforeobjective callback.
auto	addBeforeSolveCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a beforesolve callback.
auto	addChangeBranchObjectCallback (std::function< void(XPRSProblem &, BranchObject *, BranchObject **)> callback, int prio=0) -> CallbackHandle
	Add a changebranchobject callback.
auto	addCheckTimeCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a checktime callback.
void	addCols (int ncols, int ncoefs, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub)
	Adds columns to the optimizer matrix.
void	addCols (int ncols, XPRSint64 ncoefs, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub)
	Adds columns to the optimizer matrix.
auto	addColumn (double lb, double ub, ColumnType type, std::optional< std::string > name) -> int
	Add a single column to this problem.
template<typename C , is-integral(C) >
auto	addColumns (C dim) -> VariableBuilder::ColumnArrayBuilder< C >
	Create an 1-dimensional array of columns.
template<typename C1 , typename C2 , is-integral(C1) , is-integral(C2) >
auto	addColumns (C1 dim1, C2 dim2) -> VariableBuilder::ColumnArray2Builder< C1, C2 >
	Create an 2-dimensional array of columns.
template<typename C1 , typename C2 , typename C3 , is-integral(C1) , is-integral(C2) , is-integral(C3) >
auto	addColumns (C1 dim1, C2 dim2, C3 dim3) -> VariableBuilder::ColumnArray3Builder< C1, C2, C3 >
	Create an 3-dimensional array of columns.
template<typename C1 , typename C2 , typename C3 , typename C4 , is-integral(C1) , is-integral(C2) , is-integral(C3) , is-integral(C4) >
auto	addColumns (C1 dim1, C2 dim2, C3 dim3, C4 dim4) -> VariableBuilder::ColumnArray4Builder< C1, C2, C3, C4 >
	Create an 4-dimensional array of columns.
template<typename C1 , typename C2 , typename C3 , typename C4 , typename C5 , is-integral(C1) , is-integral(C2) , is-integral(C3) , is-integral(C4) , is-integral(C5) >
auto	addColumns (C1 dim1, C2 dim2, C3 dim3, C4 dim4, C5 dim5) -> VariableBuilder::ColumnArray5Builder< C1, C2, C3, C4, C5 >
	Create an 5-dimensional array of columns.
template<typename Iter0 , typename K1 = element-type(Iter0), is-iterable(Iter0) >
auto	addColumns (Iter0 const &iterable1) -> VariableBuilder::ColumnMapBuilder< K1 >
	Create an 1-dimensional map of columns.
template<typename Iter0 , typename Iter1 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), is-iterable(Iter0) , is-iterable(Iter1) >
auto	addColumns (Iter0 const &iterable1, Iter1 const &iterable2) -> VariableBuilder::ColumnMap2Builder< K1, K2 >
	Create an 2-dimensional map of columns.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) >
auto	addColumns (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3) -> VariableBuilder::ColumnMap3Builder< K1, K2, K3 >
	Create an 3-dimensional map of columns.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename Iter3 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename K4 = element-type(Iter3), is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-iterable(Iter3) >
auto	addColumns (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Iter3 const &iterable4) -> VariableBuilder::ColumnMap4Builder< K1, K2, K3, K4 >
	Create an 4-dimensional map of columns.
template<typename Iter0 , typename Iter1 , typename Iter2 , typename Iter3 , typename Iter4 , typename K1 = element-type(Iter0), typename K2 = element-type(Iter1), typename K3 = element-type(Iter2), typename K4 = element-type(Iter3), typename K5 = element-type(Iter4), is-iterable(Iter0) , is-iterable(Iter1) , is-iterable(Iter2) , is-iterable(Iter3) , is-iterable(Iter4) >
auto	addColumns (Iter0 const &iterable1, Iter1 const &iterable2, Iter2 const &iterable3, Iter3 const &iterable4, Iter4 const &iterable5) -> VariableBuilder::ColumnMap5Builder< K1, K2, K3, K4, K5 >
	Create an 5-dimensional map of columns.
template<typename K1 >
auto	addColumns (xpress::SizedArray< K1 const > const &arr1) -> VariableBuilder::ColumnMapBuilder< K1 >
	Create an 1-dimensional map of columns.
template<typename K1 , typename K2 >
auto	addColumns (xpress::SizedArray< K1 const > const &arr1, xpress::SizedArray< K2 const > const &arr2) -> VariableBuilder::ColumnMap2Builder< K1, K2 >
	Create an 2-dimensional map of columns.
template<typename K1 , typename K2 , typename K3 >
auto	addColumns (xpress::SizedArray< K1 const > const &arr1, xpress::SizedArray< K2 const > const &arr2, xpress::SizedArray< K3 const > const &arr3) -> VariableBuilder::ColumnMap3Builder< K1, K2, K3 >
	Create an 3-dimensional map of columns.
template<typename K1 , typename K2 , typename K3 , typename K4 >
auto	addColumns (xpress::SizedArray< K1 const > const &arr1, xpress::SizedArray< K2 const > const &arr2, xpress::SizedArray< K3 const > const &arr3, xpress::SizedArray< K4 const > const &arr4) -> VariableBuilder::ColumnMap4Builder< K1, K2, K3, K4 >
	Create an 4-dimensional map of columns.
template<typename K1 , typename K2 , typename K3 , typename K4 , typename K5 >
auto	addColumns (xpress::SizedArray< K1 const > const &arr1, xpress::SizedArray< K2 const > const &arr2, xpress::SizedArray< K3 const > const &arr3, xpress::SizedArray< K4 const > const &arr4, xpress::SizedArray< K5 const > const &arr5) -> VariableBuilder::ColumnMap5Builder< K1, K2, K3, K4, K5 >
	Create an 5-dimensional map of columns.
auto	addComputeRestartCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a computerestart callback.
auto	addCut (int cuttype, RowInfo cut) -> void
	Add a single cut to the problem.
auto	addCut (int cuttype, xpress::SizedArray< int const > const &colind, xpress::SizedArray< double const > const &colval, char rowtype, double rhs) -> void
	Add a single cut to the problem.
auto	addCutlogCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a cutlog callback.
auto	addCutRoundCallback (std::function< void(XPRSProblem &, int, int *)> callback, int prio=0) -> CallbackHandle
	Add a cutround callback.
void	addCuts (int ncuts, Array< int const > const &cuttype, Array< char const > const &rowtype, Array< double const > const &rhs, Array< int const > const &start, Array< int const > const &colind, Array< double const > const &cutcoef)
	Adds cuts directly to the matrix at the current node.
void	addCuts (int ncuts, Array< int const > const &cuttype, Array< char const > const &rowtype, Array< double const > const &rhs, Array< XPRSint64 const > const &start, Array< int const > const &colind, Array< double const > const &cutcoef)
	Adds cuts directly to the matrix at the current node.
auto	addGapNotifyCallback (std::function< void(XPRSProblem &, double *, double *, double *, double *)> callback, int prio=0) -> CallbackHandle
	Add a gapnotify callback.
void	addGenCons (int ncons, int ncols, int nvals, Array< GenConsType const > const &contype, Array< int const > const &resultant, Array< int const > const &colstart, Array< int const > const &colind, Array< int const > const &valstart, Array< double const > const &val)
	Adds one or more general constraints to the problem.
void	addGenCons (int ncons, XPRSint64 ncols, XPRSint64 nvals, Array< GenConsType const > const &contype, Array< int const > const &resultant, Array< XPRSint64 const > const &colstart, Array< int const > const &colind, Array< XPRSint64 const > const &valstart, Array< double const > const &val)
	Adds one or more general constraints to the problem.
auto	addInfnodeCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add an infnode callback.
auto	addIntsolCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add an intsol callback.
auto	addLplogCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a lplog callback.
void	addManagedCuts (int globalvalid, int ncuts, Array< char const > const &rowtype, Array< double const > const &rhs, Array< int const > const &start, Array< int const > const &colind, Array< double const > const &cutcoef)
	Adds cuts to the Optimizer's internal cut pool from within the cutround callback set by XPRSaddcbcutround.
void	addManagedCuts (int globalvalid, int ncuts, Array< char const > const &rowtype, Array< double const > const &rhs, Array< XPRSint64 const > const &start, Array< int const > const &colind, Array< double const > const &cutcoef)
	Adds cuts to the Optimizer's internal cut pool from within the cutround callback set by XPRSaddcbcutround.
auto	addMessageCallback (std::function< void(XPRSProblem &, char const *, int, int)> callback, int prio=0) -> CallbackHandle
	Add a message callback.
auto	addMiplogCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a miplog callback.
void	addMipSol (int length, Array< double const > const &solval, Array< int const > const &colind, std::optional< std::string > const &name)
	Adds a new feasible, infeasible or partial MIP solution for the problem to the Optimizer.
auto	addMipSol (xpress::SizedArray< double const > const &val, xpress::SizedArray< int const > const &ind) -> void
	Add a MIP solution.
auto	addMipSol (xpress::SizedArray< double const > const &val, xpress::SizedArray< int const > const &ind, std::optional< std::string > name) -> void
	Add a MIP solution.
auto	addMipThreadCallback (std::function< void(XPRSProblem &, XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a mipthread callback.
auto	addMipThreadDestroyCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a mipthreaddestroy callback.
auto	addMsJobEndCallback (std::function< int(XPRSProblem &, void *, char const *, int *)> callback, int prio=0) -> CallbackHandle
	Add a msjobend callback.
auto	addMsJobStartCallback (std::function< int(XPRSProblem &, void *, char const *, int *)> callback, int prio=0) -> CallbackHandle
	Add a msjobstart callback.
auto	addMsWinnerCallback (std::function< int(XPRSProblem &, void *, char const *)> callback, int prio=0) -> CallbackHandle
	Add a mswinner callback.
void	addNames (int type, Array< std::string const > const &names, int first, int last)
	When a model is loaded, the rows, columns, sets, piecewise linear and general constraints of the model may not have names associated with them.
auto	addNames (xpress::Namespaces type, xpress::SizedArray< std::optional< std::string > const > const &names, int first, int last) -> void
	Add names to model.
auto	addNewnodeCallback (std::function< void(XPRSProblem &, int, int, int)> callback, int prio=0) -> CallbackHandle
	Add a newnode callback.
auto	addNlpCoefEvalErrorCallback (std::function< int(XPRSProblem &, int, int)> callback, int prio=0) -> CallbackHandle
	Add a nlpcoefevalerror callback.
auto	addNodecutoffCallback (std::function< void(XPRSProblem &, int)> callback, int prio=0) -> CallbackHandle
	Add a nodecutoff callback.
auto	addNodeLPSolvedCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a nodelpsolved callback.
void	addObj (int ncols, Array< int const > const &colind, Array< double const > const &objcoef, int priority, double weight)
	Appends an objective function with the given coefficients to a multi-objective problem.
auto	addOptnodeCallback (std::function< void(XPRSProblem &, int *)> callback, int prio=0) -> CallbackHandle
	Add an optnode callback.
auto	addPreIntsolCallback (std::function< void(XPRSProblem &, int, int *, double *)> callback, int prio=0) -> CallbackHandle
	Add a preintsol callback.
auto	addPrenodeCallback (std::function< void(XPRSProblem &, int *)> callback, int prio=0) -> CallbackHandle
	Add a prenode callback.
auto	addPresolveCallback (std::function< void(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a presolve callback.
void	addPwlCons (int npwls, int npoints, Array< int const > const &colind, Array< int const > const &resultant, Array< int const > const &start, Array< double const > const &xval, Array< double const > const &yval)
	Adds one or more piecewise linear constraints to the problem.
void	addPwlCons (int npwls, XPRSint64 npoints, Array< int const > const &colind, Array< int const > const &resultant, Array< XPRSint64 const > const &start, Array< double const > const &xval, Array< double const > const &yval)
	Adds one or more piecewise linear constraints to the problem.
void	addQMatrix (int row, int ncoefs, Array< int const > const &rowqcol1, Array< int const > const &rowqcol2, Array< double const > const &rowqcoef)
	Adds a new quadratic matrix into a row defined by triplets.
void	addQMatrix (int row, XPRSint64 ncoefs, Array< int const > const &rowqcol1, Array< int const > const &rowqcol2, Array< double const > const &rowqcoef)
	Adds a new quadratic matrix into a row defined by triplets.
auto	addRow (RowInfo row) -> int
	Add a single row to the problem.
auto	addRow (RowInfo row, std::optional< std::string > name) -> int
	Add a single row to the problem.
auto	addRow (xpress::SizedArray< int const > const &colind, xpress::SizedArray< double const > const &colval, char rowtype, double rhs) -> int
	Add a single row to the problem.
auto	addRow (xpress::SizedArray< int const > const &colind, xpress::SizedArray< double const > const &colval, char rowtype, double rhs, double rng, std::optional< std::string > name) -> int
	Add a single row to the problem.
auto	addRow (xpress::SizedArray< int const > const &colind, xpress::SizedArray< double const > const &colval, char rowtype, double rhs, std::optional< std::string > name) -> int
	Add a single row to the problem.
void	addRows (int nrows, int ncoefs, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< int const > const &start, Array< int const > const &colind, Array< double const > const &rowcoef)
	Adds rows to the optimizer matrix.
void	addRows (int nrows, int ncoefs, Array< char const > const &rowtype, Array< double const > const &rhs, Array< int const > const &start, Array< int const > const &colind, Array< double const > const &rowcoef)
	Adds rows to the optimizer matrix.
void	addRows (int nrows, XPRSint64 ncoefs, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< XPRSint64 const > const &start, Array< int const > const &colind, Array< double const > const &rowcoef)
	Adds rows to the optimizer matrix.
void	addRows (int nrows, XPRSint64 ncoefs, Array< char const > const &rowtype, Array< double const > const &rhs, Array< XPRSint64 const > const &start, Array< int const > const &colind, Array< double const > const &rowcoef)
	Adds rows to the optimizer matrix.
auto	addSet (xpress::SetType type, xpress::SizedArray< int const > const &elements, xpress::SizedArray< double const > const &weights, std::optional< std::string > name) -> int
	Add a single set constraint to this problem.
void	addSetNames (Array< std::string const > const &names, int first, int last)
	When a model with MIP entities is loaded, any special ordered sets may not have names associated with them.
auto	addSets (int count, xpress::SizedArray< int const > const &start, xpress::SizedArray< SetType const > const &type, xpress::SizedArray< int const > const &setind, xpress::SizedArray< double const > const &setref, xpress::SizedArray< std::optional< std::string > const > const &names) -> std::vector< int >
	Create multiple set constraints.
void	addSets (int nsets, int nelems, Array< char const > const &settype, Array< int const > const &start, Array< int const > const &colind, Array< double const > const &refval)
	Allows sets to be added to the problem after passing it to the Optimizer using the input routines.
void	addSets (int nsets, XPRSint64 nelems, Array< char const > const &settype, Array< XPRSint64 const > const &start, Array< int const > const &colind, Array< double const > const &refval)
	Allows sets to be added to the problem after passing it to the Optimizer using the input routines.
auto	addSets (std::vector< xpress::SetType > type, xpress::SizedArray< std::vector< int > > const &elements, xpress::SizedArray< std::vector< double > > const &weights, xpress::SizedArray< std::optional< std::string > const > const &name) -> std::vector< int >
	Add multiple set constraints to the problem.
auto	addSlpCascadeEndCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a slpcascadeend callback.
auto	addSlpCascadeStartCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a slpcascadestart callback.
auto	addSlpCascadeVarCallback (std::function< int(XPRSProblem &, int)> callback, int prio=0) -> CallbackHandle
	Add a slpcascadevar callback.
auto	addSlpCascadeVarFailCallback (std::function< int(XPRSProblem &, int)> callback, int prio=0) -> CallbackHandle
	Add a slpcascadevarfail callback.
auto	addSlpConstructCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a slpconstruct callback.
auto	addSlpDrColCallback (std::function< int(XPRSProblem &, int, int, double, double *, double, double)> callback, int prio=0) -> CallbackHandle
	Add a slpdrcol callback.
auto	addSlpIntSolCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a slpintsol callback.
auto	addSlpIterEndCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a slpiterend callback.
auto	addSlpIterStartCallback (std::function< int(XPRSProblem &)> callback, int prio=0) -> CallbackHandle
	Add a slpiterstart callback.
auto	addSlpIterVarCallback (std::function< int(XPRSProblem &, int)> callback, int prio=0) -> CallbackHandle
	Add a slpitervar callback.
auto	addSlpPreUpdateLinearizationCallback (std::function< int(XPRSProblem &, int *)> callback, int prio=0) -> CallbackHandle
	Add a slppreupdatelinearization callback.
auto	addUserSolNotifyCallback (std::function< void(XPRSProblem &, char const *, int)> callback, int prio=0) -> CallbackHandle
	Add an usersolnotify callback.
void	alter (std::optional< std::string > const &filename)
	Alters or changes matrix elements, right hand sides and constraint senses in the current problem.
auto	basisStability (int type, int norm, int scaled) -> double
	Calculates various measures for the stability of the current basis, including the basis condition number.
void	bndSA (int ncols, Array< int const > const &colind, Array< double > const &lblower, Array< double > const &lbupper, Array< double > const &ublower, Array< double > const &ubupper)
	Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds.
void	bTran (Array< double > const &vec)
	Post-multiplies a (row) vector provided by the user by the inverse of the current basis.
auto	calcObjective (Array< double const > const &solution) -> double
	Calculates the objective value of a given solution.
auto	calcObjN (int objidx, Array< double const > const &solution) -> double
	Calculates the objective value of the given objective function in a multi-objective problem.
auto	calcReducedCosts (Array< double const > const &duals, Array< double const > const &solution) -> std::vector< double >
	Calculates the reduced cost values for a given (row) dual solution.
auto	calcSlacks (Array< double const > const &solution) -> std::vector< double >
	Calculates the row slack values for a given solution.
auto	calcSolInfo (Array< double const > const &solution, Array< double const > const &duals, int property) -> double
	Calculates the required property of a solution, like maximum infeasibility of a given primal and dual solution.
auto	chgBounds (int j, double lb, double ub) -> void
	Change bounds of a single column.
void	chgBounds (int nbounds, Array< int const > const &colind, Array< char const > const &bndtype, Array< double const > const &bndval)
	Used to change the bounds on columns in the matrix.
void	chgCoef (int row, int col, double coef)
	Used to change a single coefficient in the matrix.
void	chgColType (int ncols, Array< int const > const &colind, Array< char const > const &coltype)
	Used to change the type of a specified set of columns in the matrix.
void	chgGlbLimit (int ncols, Array< int const > const &colind, Array< double const > const &limit)
	Used to change semi-continuous or semi-integer lower bounds, or upper limits on partial integers.
auto	chgLB (int j, double lb) -> void
	Change the lower bound of a single column.
void	chgMCoef (int ncoefs, Array< int const > const &rowind, Array< int const > const &colind, Array< double const > const &rowcoef)
	Used to change multiple coefficients in the matrix.
void	chgMCoef (XPRSint64 ncoefs, Array< int const > const &rowind, Array< int const > const &colind, Array< double const > const &rowcoef)
	Used to change multiple coefficients in the matrix.
void	chgMQObj (int ncoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef)
	Used to change multiple quadratic coefficients in the objective function.
void	chgMQObj (XPRSint64 ncoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef)
	Used to change multiple quadratic coefficients in the objective function.
void	chgObj (int ncols, Array< int const > const &colind, Array< double const > const &objcoef)
	Used to change the objective function coefficients.
void	chgObjN (int objidx, int ncols, Array< int const > const &colind, Array< double const > const &objcoef)
	Modifies one or more coefficients of an objective function in a multi-objective problem.
void	chgObjSense (ObjSense objsense)
	Changes the problem's objective function sense to minimize or maximize.
void	chgQObj (int objqcol1, int objqcol2, double objqcoef)
	Used to change a single quadratic coefficient in the objective function corresponding to the variable pair (objqcol1,objqcol2) of the Hessian matrix.
void	chgQRowCoeff (int row, int rowqcol1, int rowqcol2, double rowqcoef)
	Changes a single quadratic coefficient in a row.
void	chgRhs (int nrows, Array< int const > const &rowind, Array< double const > const &rhs)
	Used to change right—hand side values of the problem.
void	chgRhsRange (int nrows, Array< int const > const &rowind, Array< double const > const &rng)
	Used to change the range for a row of the problem matrix.
void	chgRowType (int nrows, Array< int const > const &rowind, Array< char const > const &rowtype)
	Used to change the type of a row in the matrix.
auto	chgUB (int j, double ub) -> void
	Change the upper bound of a single column.
void	clearIIS ()
	Resets the search for Irreducible Infeasible Sets (IIS).
auto	clearObjective () -> void
	Clear the objective function.
void	clearRowFlags (Array< int const > const &flags, int first, int last)
	Clears extra information attached to a range of rows.
void	copyControls (XPRSProblem const &src)
	Copies controls defined for one problem to another.
void	copyProb (XPRSProblem const &src, std::optional< std::string > const &name)
	Copies information defined for one problem to another.
auto	crossoverLpSol () -> int
	Provides a basic optimal solution for a given solution of an LP problem.
void	delCPCuts ()
	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes.
void	delCPCuts (int cuttype, int interp)
	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes.
void	delCPCuts (int cuttype, int interp, int ncuts, Array< XPRScut const > const &cutind)
	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes.
void	delCPCuts (int ncuts, Array< XPRScut const > const &cutind)
	During the branch and bound search, cuts are stored in the cut pool to be applied at descendant nodes.
void	delCuts (int basis)
	Deletes cuts from the matrix at the current node.
void	delCuts (int basis, int cuttype, int interp)
	Deletes cuts from the matrix at the current node.
void	delCuts (int basis, int cuttype, int interp, double delta)
	Deletes cuts from the matrix at the current node.
void	delCuts (int basis, int cuttype, int interp, double delta, int ncuts, Array< XPRScut const > const &cutind)
	Deletes cuts from the matrix at the current node.
void	delCuts (int basis, int ncuts, Array< XPRScut const > const &cutind)
	Deletes cuts from the matrix at the current node.
auto	delIndicator (int row) -> void
	Delete a single indicator constraint.
void	delIndicators (int first, int last)
	Delete indicator constraints.
void	delObj (int objidx)
	Removes an objective function from a multi-objective problem.
void	delQMatrix (int row)
	Deletes the quadratic part of a row or of the objective function.
void	destroyProb ()
	Removes a given problem and frees any memory associated with it following manipulation and optimization.
void	dumpControls ()
	Displays the list of controls and their current value for those controls that have been set to a non default value.
void	estimateRowDualRanges (int nrows, Array< int const > const &rowind, int iterlim, Array< double > const &mindual, Array< double > const &maxdual)
	Performs a dual side range sensitivity analysis, i.e.
auto	firstIIS (int mode) -> int
	Initiates a search for an Irreducible Infeasible Set (IIS) in an infeasible problem.
void	fixMipEntities (int options)
	Fixes all the MIP entities to the values of the last found MIP solution.
void	fTran (Array< double > const &vec)
	Pre-multiplies a (column) vector provided by the user by the inverse of the current matrix.
void	getAttribInfo (std::optional< std::string > const &name, int *p_id, ParameterType *p_type)
	Accesses the id number and the type information of an attribute given its name.
void	getBarNumStability (Array< int > const &colstab, Array< int > const &rowstab)
void	getBasis (Array< int > const &rowstat, Array< int > const &colstat)
	Returns the current basis into the user's data arrays.
void	getBasisVal (int row, int col, int *p_rowstat, int *p_colstat)
	Returns the current basis status for a specific column or row.
auto	getCallbackDual (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackDual (int index) const -> double
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackDuals () const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackDuals (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackDuals (bool *p_available, Array< double > const &duals, int first, int last) const
	Returns the dual values.
auto	getCallbackDuals (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackDuals (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackDuals(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveDual (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackPresolveDuals(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveDual (int index) const -> double
	Convenience wrapper for getCallbackPresolveDuals(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveDuals () const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveDuals(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackPresolveDuals (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveDuals(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackPresolveDuals (bool *p_available, Array< double > const &duals, int first, int last) const
	Returns the dual values from the solution to the presolved problem associated with the current callback.
auto	getCallbackPresolveDuals (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveDuals(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveDuals (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveDuals(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveRedCost (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackPresolveRedCosts(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveRedCost (int index) const -> double
	Convenience wrapper for getCallbackPresolveRedCosts(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveRedCosts () const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackPresolveRedCosts (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackPresolveRedCosts (bool *p_available, Array< double > const &djs, int first, int last) const
	Returns the reduced costs from the solution to the presolved problem associated with the current callback.
auto	getCallbackPresolveRedCosts (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveRedCosts (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveSlack (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackPresolveSlacks(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveSlack (int index) const -> double
	Convenience wrapper for getCallbackPresolveSlacks(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveSlacks () const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSlacks(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackPresolveSlacks (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSlacks(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackPresolveSlacks (bool *p_available, Array< double > const &slacks, int first, int last) const
	Returns the slack values from the solution to the presolved problem associated with the current callback.
auto	getCallbackPresolveSlacks (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSlacks(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveSlacks (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSlacks(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveSolution () const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSolution(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackPresolveSolution (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSolution(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackPresolveSolution (bool *p_available, Array< double > const &x, int first, int last) const
	Returns the solution to the presolved problem associated with the current callback.
auto	getCallbackPresolveSolution (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSolution(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveSolution (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackPresolveSolution(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackPresolveSolution (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackPresolveSolution(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackPresolveSolution (int index) const -> double
	Convenience wrapper for getCallbackPresolveSolution(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackRedCost (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackRedCost (int index) const -> double
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackRedCosts () const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackRedCosts (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackRedCosts (bool *p_available, Array< double > const &djs, int first, int last) const
	Returns the reduced costs.
auto	getCallbackRedCosts (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackRedCosts (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackRedCosts(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSlack (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackSlack (int index) const -> double
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackSlacks () const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackSlacks (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackSlacks (bool *p_available, Array< double > const &slacks, int first, int last) const
	Returns the slack values.
auto	getCallbackSlacks (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSlacks (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSlacks(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSolution () const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getCallbackSolution (bool *p_available) const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getCallbackSolution (bool *p_available, Array< double > const &x, int first, int last) const
	Returns the primal values.
auto	getCallbackSolution (bool *p_available, int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSolution (bool *p_available, int index) const -> double
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCallbackSolution (int first, int last) const -> std::vector< double >
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that allocates the output array.
auto	getCallbackSolution (int index) const -> double
	Convenience wrapper for getCallbackSolution(bool*, Array<double> const &, int, int) const that queries only a single value.
auto	getCoef (int row, int col) -> double
	Returns a single coefficient in the constraint matrix.
void	getCols (Array< int > const &start, Array< int > const &rowind, Array< double > const &rowcoef, int maxcoefs, int *p_ncoefs, int first, int last)
	Returns the nonzeros in the constraint matrix for the columns in a given range.
auto	getCols (Array< int > const &start, Array< int > const &rowind, Array< double > const &rowcoef, int maxcoefs, int first, int last) -> int
	Returns the nonzeros in the constraint matrix for the columns in a given range.
auto	getCols (Array< XPRSint64 > const &start, Array< int > const &rowind, Array< double > const &rowcoef, XPRSint64 maxcoefs, int first, int last) -> XPRSint64
	Returns the nonzeros in the constraint matrix for the columns in a given range.
void	getCols (Array< XPRSint64 > const &start, Array< int > const &rowind, Array< double > const &rowcoef, XPRSint64 maxcoefs, XPRSint64 *p_ncoefs, int first, int last)
	Returns the nonzeros in the constraint matrix for the columns in a given range.
auto	getCols (int first, int last) -> xpress::XPRSProblem::MatrixInfo
	Get range of columns.
auto	getColType (int first, int last) -> std::vector< char >
	Returns the column types for the columns in a given range.
auto	getColumnName (int index) -> std::string
	Get a column name.
auto	getColumnNames (int first, int last) -> std::vector< std::string >
	Get names of columns.
void	getControlInfo (std::optional< std::string > const &name, int *p_id, ParameterType *p_type)
	Accesses the id number and the type information of a control given its name.
void	getCPCutList (int cuttype, int interp, double delta, int *p_ncuts, int maxcuts, Array< XPRScut > const &cutind, Array< double > const &viol)
	Returns a list of cut indices from the cut pool.
auto	getCPCutList (int cuttype, int interp, double delta, int maxcuts, Array< XPRScut > const &cutind, Array< double > const &viol) -> int
	Returns a list of cut indices from the cut pool.
auto	getCPCutList (int maxcuts, Array< XPRScut > const &cutind, Array< double > const &viol) -> int
	Returns a list of cut indices from the cut pool.
void	getCPCuts (Array< XPRScut const > const &rowind, int ncuts, int maxcoefs, Array< int > const &cuttype, Array< char > const &rowtype, Array< int > const &start, Array< int > const &colind, Array< double > const &cutcoef, Array< double > const &rhs)
	Returns cuts from the cut pool.
void	getCPCuts (Array< XPRScut const > const &rowind, int ncuts, XPRSint64 maxcoefs, Array< int > const &cuttype, Array< char > const &rowtype, Array< XPRSint64 > const &start, Array< int > const &colind, Array< double > const &cutcoef, Array< double > const &rhs)
	Returns cuts from the cut pool.
void	getCutList (int cuttype, int interp, int *p_ncuts, int maxcuts, Array< XPRScut > const &cutind)
	Retrieves a list of cut pointers for the cuts active at the current node.
auto	getCutList (int cuttype, int interp, int maxcuts, Array< XPRScut > const &cutind) -> int
	Retrieves a list of cut pointers for the cuts active at the current node.
auto	getCutList (int maxcuts, Array< XPRScut > const &cutind) -> int
	Retrieves a list of cut pointers for the cuts active at the current node.
auto	getCutMap (int ncuts, Array< XPRScut const > const &cutind) -> std::vector< int >
	Used to return in which rows a list of cuts are currently loaded into the Optimizer.
auto	getCutSlack (XPRScut cutind) -> double
	Used to calculate the slack value of a cut with respect to the current LP relaxation solution.
auto	getDblAttrib (int attrib) const -> double
	Enables users to retrieve the values of various double problem attributes.
auto	getDblControl (int control) const -> double
	Retrieves the value of a given double control parameter.
auto	getDirs () -> int
	Used to return the directives that have been loaded into a matrix.
auto	getDirs (Array< int > const &indices, Array< int > const &prios, Array< char > const &branchdirs, Array< double > const &uppseudo, Array< double > const &downpseudo) -> int
	Used to return the directives that have been loaded into a matrix.
void	getDirs (int *p_ndir, Array< int > const &indices, Array< int > const &prios, Array< char > const &branchdirs, Array< double > const &uppseudo, Array< double > const &downpseudo)
	Used to return the directives that have been loaded into a matrix.
auto	getDiscreteCols () -> xpress::XPRSProblem::MIPEntityInfo
	Get information about MIP entities.
auto	getDual (int *status, int index) const -> double
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getDual (int index) const -> double
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that queries only a single value.
void	getDualRay (Array< double > const &ray, int *p_hasray)
	Retrieves a dual ray (dual unbounded direction) for the current problem, if the problem is found to be infeasible.
auto	getDuals () const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getDuals (int *status) const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getDuals (int *status, Array< double > const &duals, int first, int last) const
	Returns the dual values.
auto	getDuals (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getDuals (int first, int last) const -> std::vector< double >
	Convenience wrapper for getDuals(int*, Array<double> const &, int, int) const that allocates the output array.
void	getGenCons (Array< GenConsType > const &contype, Array< int > const &resultant, Array< int > const &colstart, Array< int > const &colind, int maxcols, int *p_ncols, Array< int > const &valstart, Array< double > const &val, int maxvals, int *p_nvals, int first, int last)
	Returns the general constraints y = f(x1, ..., xn, c1, ..., cm) in a given range.
void	getGenCons (Array< GenConsType > const &contype, Array< int > const &resultant, Array< XPRSint64 > const &colstart, Array< int > const &colind, XPRSint64 maxcols, XPRSint64 *p_ncols, Array< XPRSint64 > const &valstart, Array< double > const &val, XPRSint64 maxvals, XPRSint64 *p_nvals, int first, int last)
	Returns the general constraints y = f(x1, ..., xn, c1, ..., cm) in a given range.
auto	getGenCons (int first, int last) -> xpress::XPRSProblem::GeneralConstraintInfo
	Query a range of general constraints.
auto	getGenConsName (int index) -> std::string
	Get a general constraint name.
auto	getGenConsNames (int first, int last) -> std::vector< std::string >
	Get names of general constraints.
void	getIISData (int iis, int *p_nrows, int *p_ncols, Array< int > const &rowind, Array< int > const &colind, Array< char > const &contype, Array< char > const &bndtype, Array< double > const &duals, Array< double > const &djs, Array< char > const &isolationrows, Array< char > const &isolationcols)
	Returns information for an Irreducible Infeasible Set: size, variables and constraints (row and column vectors), and conflicting sides of the variables.
auto	getIISData (int number) -> xpress::XPRSProblem::IISData
	Get information about an IIS.
auto	getIndex (int type, std::optional< std::string > const &name) -> int
	Returns the index for a specified row or column name.
auto	getIndicator (int row) -> std::optional< xpress::IndicatorInfo >
	Get indicator information for a single row.
void	getIndicators (Array< int > const &colind, Array< int > const &complement, int first, int last)
	Returns the indicator constraint condition (indicator variable and complement flag) associated to the rows in a given range.
auto	getIndicators (int first, int last) -> std::vector< xpress::IndicatorInfo >
	Get indicator information for a range of rows.
void	getInfeas (int *p_nprimalcols, int *p_nprimalrows, int *p_ndualrows, int *p_ndualcols, Array< int > const &x, Array< int > const &slack, Array< int > const &duals, Array< int > const &djs)
	Returns a list of infeasible primal and dual variables.
auto	getIntAttrib (int attrib) const -> int
	Enables users to recover the values of various integer problem attributes.
auto	getIntControl (int control) const -> int
	Enables users to recover the values of various integer control parameters.
void	getLastBarSol (Array< double > const &x, Array< double > const &slack, Array< double > const &duals, Array< double > const &djs, int *p_status)
	Used to obtain the last barrier solution values following optimization that used the barrier solver.
auto	getLB (int first, int last) -> std::vector< double >
	Returns the lower bounds for the columns in a given range.
auto	getLongAttrib (int attrib) const -> XPRSint64
	Enables users to recover the values of various integer problem attributes.
auto	getLongControl (int control) const -> XPRSint64
	Enables users to recover the values of various integer control parameters.
void	getLpSol (Array< double > const &x)
	Used to obtain the LP solution values following optimization.
void	getLpSol (Array< double > const &x, Array< double > const &slack, Array< double > const &duals, Array< double > const &djs)
	Used to obtain the LP solution values following optimization.
void	getLpSolVal (int col, int row, double *p_x, double *p_slack, double *p_dual, double *p_dj)
	Used to obtain a single LP solution value following optimization.
auto	getMessageStatus (int msgcode) -> int
	Retrieves the current suppression status of a message.
auto	getMipEntities () -> xpress::XPRSProblem::MIPEntityInfo
	Get information about MIP entities and SOS.
auto	getMipEntities (Array< char > const &coltype, Array< int > const &colind, Array< double > const &limit) -> int
	Retrieves integr and entity information about a problem.
void	getMipEntities (int *p_nentities, Array< char > const &coltype, Array< int > const &colind, Array< double > const &limit)
	Retrieves integr and entity information about a problem.
void	getMipEntities (int *p_nentities, int *p_nsets, Array< char > const &coltype, Array< int > const &colind, Array< double > const &limit, Array< char > const &settype, Array< int > const &start, Array< int > const &setcols, Array< double > const &refval)
	Retrieves integr and entity information about a problem.
void	getMipEntities (int *p_nentities, int *p_nsets, Array< char > const &coltype, Array< int > const &colind, Array< double > const &limit, Array< char > const &settype, Array< XPRSint64 > const &start, Array< int > const &setcols, Array< double > const &refval)
	Retrieves integr and entity information about a problem.
void	getMipSol (Array< double > const &x)
	Used to obtain the solution values of the last MIP solution that was found.
void	getMipSol (Array< double > const &x, Array< double > const &slack)
	Used to obtain the solution values of the last MIP solution that was found.
void	getMipSolVal (int col, int row, double *p_x, double *p_slack)
	Used to obtain a single solution value of the last MIP solution that was found.
void	getMQObj (Array< int > const &start, Array< int > const &colind, Array< double > const &objqcoef, int maxcoefs, int *p_ncoefs, int first, int last)
	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range.
auto	getMQObj (Array< int > const &start, Array< int > const &colind, Array< double > const &objqcoef, int maxcoefs, int first, int last) -> int
	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range.
auto	getMQObj (Array< XPRSint64 > const &start, Array< int > const &colind, Array< double > const &objqcoef, XPRSint64 maxcoefs, int first, int last) -> XPRSint64
	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range.
void	getMQObj (Array< XPRSint64 > const &start, Array< int > const &colind, Array< double > const &objqcoef, XPRSint64 maxcoefs, XPRSint64 *p_ncoefs, int first, int last)
	Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range.
auto	getMQObj (int first, int last) -> xpress::XPRSProblem::MatrixInfo
	Get quadratic objective matrix for range of columns.
auto	getName (int type, int elt) -> std::string
	Get the name of a single element.
auto	getName (xpress::Namespaces type, int elt) -> std::string
	Get the name of a single element.
auto	getNameList (int type, int first, int last) -> std::vector< std::string >
	Returns the names for the rows, columns, sets, piecewise linear constraints, general constraints or objectives in a given range.
auto	getNames (int type, int first, int last) -> std::vector< std::string >
	Get names.
auto	getNames (xpress::Namespaces type, int first, int last) -> std::vector< std::string >
	Get names.
void	getNlpsol (Array< double > const &x, Array< double > const &slack, Array< double > const &duals, Array< double > const &djs)
	Obtain the current SLP solution values.
auto	getObj (int first, int last) -> std::vector< double >
	Returns the objective function coefficients for the columns in a given range.
auto	getObjDblAttrib (int solveidx, int attrib) -> double
	Retrieves the value of a given double attribute associated with a multi-objective solve.
auto	getObjDblControl (int objidx, ObjControl control) -> double
	Retrieves the value of a given double control parameter associated with an objective function.
auto	getObjIntAttrib (int solveidx, int attrib) -> int
	Retrieves the value of a given integer attribute associated with a multi-objective solve.
auto	getObjIntControl (int objidx, ObjControl control) -> int
	Retrieves the value of a given integer control parameter associated with an objective.
auto	getObjLongAttrib (int solveidx, int attrib) -> XPRSint64
	Retrieves the value of a given integer attribute associated with a multi-objective solve.
auto	getObjN (int objidx, int first, int last) -> std::vector< double >
	For a given objective function, returns the objective coefficients for the columns in a given range.
auto	getPivotOrder () -> std::vector< int >
	Returns the pivot order of the basic variables.
void	getPivots (int enter, Array< int > const &outlist, Array< double > const &x, double *p_objval, int *p_npivots, int maxpivots)
	Returns a list of potential leaving variables if a specified variable enters the basis.
void	getPresolveBasis (Array< int > const &rowstat, Array< int > const &colstat)
	Returns the current basis from memory into the user's data areas.
void	getPresolveMap (Array< int > const &rowmap, Array< int > const &colmap)
	Returns the mapping of the row and column numbers from the presolve problem back to the original problem.
void	getPresolveSol (Array< double > const &x)
	Returns the solution for the presolved problem from memory.
void	getPresolveSol (Array< double > const &x, Array< double > const &slack, Array< double > const &duals, Array< double > const &djs)
	Returns the solution for the presolved problem from memory.
void	getPrimalRay (Array< double > const &ray, int *p_hasray)
	Retrieves a primal ray (primal unbounded direction) for the current problem, if the problem is found to be unbounded.
auto	getProbName () -> std::string
	Returns the current problem name.
void	getPwlCons (Array< int > const &colind, Array< int > const &resultant, Array< int > const &start, Array< double > const &xval, Array< double > const &yval, int maxpoints, int *p_npoints, int first, int last)
	Returns the piecewise linear constraints y = f(x) in a given range.
void	getPwlCons (Array< int > const &colind, Array< int > const &resultant, Array< XPRSint64 > const &start, Array< double > const &xval, Array< double > const &yval, XPRSint64 maxpoints, XPRSint64 *p_npoints, int first, int last)
	Returns the piecewise linear constraints y = f(x) in a given range.
auto	getPWLName (int index) -> std::string
	Get a PWL constraint name.
auto	getPWLNames (int first, int last) -> std::vector< std::string >
	Get names of PWL constraints.
auto	getQObj (int objqcol1, int objqcol2) -> double
	Returns a single quadratic objective function coefficient corresponding to the variable pair (objqcol1, objqcol2) of the Hessian matrix.
auto	getQRowCoeff (int row, int rowqcol1, int rowqcol2) -> double
	Returns a single quadratic constraint coefficient corresponding to the variable pair (rowqcol1, rowqcol2) of the Hessian of a given constraint.
void	getQRowQMatrix (int row, Array< int > const &start, Array< int > const &colind, Array< double > const &rowqcoef, int maxcoefs, int *p_ncoefs, int first, int last)
	Returns the nonzeros in a quadratic constraint coefficients matrix for the columns in a given range.
auto	getQRowQMatrix (int row, Array< int > const &start, Array< int > const &colind, Array< double > const &rowqcoef, int maxcoefs, int first, int last) -> int
	Returns the nonzeros in a quadratic constraint coefficients matrix for the columns in a given range.
auto	getQRowQMatrixTriplets (int row, Array< int > const &rowqcol1, Array< int > const &rowqcol2, Array< double > const &rowqcoef) -> int
	Returns the nonzeros in a quadratic constraint coefficients matrix as triplets (index pairs with coefficients).
void	getQRowQMatrixTriplets (int row, int *p_ncoefs, Array< int > const &rowqcol1, Array< int > const &rowqcol2, Array< double > const &rowqcoef)
	Returns the nonzeros in a quadratic constraint coefficients matrix as triplets (index pairs with coefficients).
auto	getQRows () -> int
	Returns the list indices of the rows that have quadratic coefficients.
auto	getQRows (Array< int > const &rowind) -> int
	Returns the list indices of the rows that have quadratic coefficients.
void	getQRows (int *p_nrows, Array< int > const &rowind)
	Returns the list indices of the rows that have quadratic coefficients.
auto	getRedCost (int *status, int index) const -> double
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getRedCost (int index) const -> double
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getRedCosts () const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getRedCosts (int *status) const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getRedCosts (int *status, Array< double > const &djs, int first, int last) const
	Returns the reduced costs.
auto	getRedCosts (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getRedCosts (int first, int last) const -> std::vector< double >
	Convenience wrapper for getRedCosts(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getRhs (int first, int last) -> std::vector< double >
	Returns the right hand side elements for the rows in a given range.
auto	getRhsRange (int first, int last) -> std::vector< double >
	Returns the right hand side range values for the rows in a given range.
auto	getRowFlags (int first, int last) -> std::vector< int >
	Retrieve if a range of rows have been set up as special rows.
auto	getRowName (int index) -> std::string
	Get a row name.
auto	getRowNames (int first, int last) -> std::vector< std::string >
	Get names of rows.
void	getRows (Array< int > const &start, Array< int > const &colind, Array< double > const &colcoef, int maxcoefs, int *p_ncoefs, int first, int last)
	Returns the nonzeros in the constraint matrix for the rows in a given range.
auto	getRows (Array< int > const &start, Array< int > const &colind, Array< double > const &colcoef, int maxcoefs, int first, int last) -> int
	Returns the nonzeros in the constraint matrix for the rows in a given range.
auto	getRows (Array< XPRSint64 > const &start, Array< int > const &colind, Array< double > const &colcoef, XPRSint64 maxcoefs, int first, int last) -> XPRSint64
	Returns the nonzeros in the constraint matrix for the rows in a given range.
void	getRows (Array< XPRSint64 > const &start, Array< int > const &colind, Array< double > const &colcoef, XPRSint64 maxcoefs, XPRSint64 *p_ncoefs, int first, int last)
	Returns the nonzeros in the constraint matrix for the rows in a given range.
auto	getRows (int first, int last) -> xpress::XPRSProblem::MatrixInfo
	Get range of rows.
auto	getRowType (int first, int last) -> std::vector< char >
	Returns the row types for the rows in a given range.
void	getScale (Array< int > const &rowscale, Array< int > const &colscale)
	Returns the the current scaling of the matrix.
void	getScaledInfeas (int *p_nprimalcols, int *p_nprimalrows, int *p_ndualrows, int *p_ndualcols, Array< int > const &x, Array< int > const &slack, Array< int > const &duals, Array< int > const &djs)
	Returns a list of scaled infeasible primal and dual variables for the original problem.
auto	getSetDefinitions () -> xpress::XPRSProblem::MIPEntityInfo
	Get information about SOS.
auto	getSetName (int index) -> std::string
	Get a set (SOS) name.
auto	getSetNames (int first, int last) -> std::vector< std::string >
	Get names of sets (SOS).
auto	getSlack (int *status, int index) const -> double
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getSlack (int index) const -> double
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getSlacks () const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getSlacks (int *status) const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getSlacks (int *status, Array< double > const &slacks, int first, int last) const
	Returns the slack values.
auto	getSlacks (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSlacks (int first, int last) const -> std::vector< double >
	Convenience wrapper for getSlacks(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSolution () const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
auto	getSolution (int *status) const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array and queries all elements.
void	getSolution (int *status, Array< double > const &x, int first, int last) const
	Returns the incumbent solution during or after optimization with XPRSoptimize, XPRSmipoptimize, XPRSlpoptimize or XPRSnlpoptimize.
auto	getSolution (int *status, int first, int last) const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSolution (int *status, int index) const -> double
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getSolution (int first, int last) const -> std::vector< double >
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that allocates the output array.
auto	getSolution (int index) const -> double
	Convenience wrapper for getSolution(int*, Array<double> const &, int, int) const that queries only a single value.
auto	getStrAttrib (int attrib) const -> std::string
	Enables users to recover the values of various string problem attributes.
auto	getStrControl (int control) const -> std::string
	Returns the value of a given string control parameters.
void	getStringControl (int control, char *value, int maxbytes, int *p_nbytes) const
	Returns the value of a given string control parameters.
void	getStrStringAttrib (int attrib, char *value, int maxbytes, int *p_nbytes) const
	Enables users to recover the values of various string problem attributes.
auto	getUB (int first, int last) -> std::vector< double >
	Returns the upper bounds for the columns in a given range.
auto	getUnbVec () -> int
	Returns the index vector which causes the primal simplex or dual simplex algorithm to determine that a matrix is primal or dual unbounded respectively.
void	IISAll ()
	Performs an automated search for independent Irreducible Infeasible Sets (IIS) in an infeasible problem.
void	IISIsolations (int iis)
	Performs the isolation identification procedure for an Irreducible Infeasible Set (IIS).
auto	IISStatus () -> xpress::XPRSProblem::IISStatusInfo
	Get the IIS status.
void	IISStatus (int *p_niis, Array< int > const &nrows, Array< int > const &ncols, Array< double > const &suminfeas, Array< int > const &numinfeas)
	Returns statistics on the Irreducible Infeasible Sets (IIS) found so far by XPRSiisfirst (IIS), XPRSiisnext (IIS -n) or XPRSiisall (IIS -a).
void	interrupt (StopType reason)
	Interrupts the Optimizer algorithms.
void	loadBasis (Array< int const > const &rowstat, Array< int const > const &colstat)
	Loads a basis from the user's areas.
void	loadBranchDirs (int ncols, Array< int const > const &colind, Array< int const > const &dir)
	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.
void	loadCuts (int cuttype, int interp)
	Loads cuts from the cut pool into the matrix.
void	loadCuts (int cuttype, int interp, int ncuts, Array< XPRScut const > const &cutind)
	Loads cuts from the cut pool into the matrix.
void	loadCuts (int ncuts, Array< XPRScut const > const &cutind)
	Loads cuts from the cut pool into the matrix.
void	loadDelayedRows (int nrows, Array< int const > const &rowind)
	Specifies that a set of rows in the matrix will be treated as delayed rows during a tree search.
void	loadDirs (int ndirs, Array< int const > const &colind, Array< int const > const &priority, Array< char const > const &dir, Array< double const > const &uppseudo, Array< double const > const &downpseudo)
	Loads directives into the matrix.
void	loadLp (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub)
	Enables the user to pass a matrix directly to the Optimizer, rather than reading the matrix from a file.
void	loadLp (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub)
	Enables the user to pass a matrix directly to the Optimizer, rather than reading the matrix from a file.
auto	loadLpSol (Array< double const > const &x, Array< double const > const &slack, Array< double const > const &duals, Array< double const > const &djs) -> int
	Loads an LP solution for the problem into the Optimizer.
void	loadMip (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, int nentities, int nsets, Array< char const > const &coltype, Array< int const > const &entind, Array< double const > const &limit, Array< char const > const &settype, Array< int const > const &setstart, Array< int const > const &setind, Array< double const > const &refval)
	Used to load a MIP problem into the Optimizer data structures.
void	loadMip (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, int nentities, int nsets, Array< char const > const &coltype, Array< int const > const &entind, Array< double const > const &limit, Array< char const > const &settype, Array< XPRSint64 const > const &setstart, Array< int const > const &setind, Array< double const > const &refval)
	Used to load a MIP problem into the Optimizer data structures.
auto	loadMipSol (Array< double const > const &x) -> int
	Loads a starting MIP solution for the problem into the Optimizer.
void	loadMIQCQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, int nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef, int nqrows, Array< int const > const &qrowind, Array< int const > const &nrowqcoefs, Array< int const > const &rowqcol1, Array< int const > const &rowqcol2, Array< double const > const &rowqcoef, int nentities, int nsets, Array< char const > const &coltype, Array< int const > const &entind, Array< double const > const &limit, Array< char const > const &settype, Array< int const > const &setstart, Array< int const > const &setind, Array< double const > const &refval)
	Used to load a mixed integer quadratic problem with quadratic constraints into the Optimizer data structure.
void	loadMIQCQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, XPRSint64 nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef, int nqrows, Array< int const > const &qrowind, Array< XPRSint64 const > const &nrowqcoefs, Array< int const > const &rowqcol1, Array< int const > const &rowqcol2, Array< double const > const &rowqcoef, int nentities, int nsets, Array< char const > const &coltype, Array< int const > const &entind, Array< double const > const &limit, Array< char const > const &settype, Array< XPRSint64 const > const &setstart, Array< int const > const &setind, Array< double const > const &refval)
	Used to load a mixed integer quadratic problem with quadratic constraints into the Optimizer data structure.
void	loadMIQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, int nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef, int nentities, int nsets, Array< char const > const &coltype, Array< int const > const &entind, Array< double const > const &limit, Array< char const > const &settype, Array< int const > const &setstart, Array< int const > const &setind, Array< double const > const &refval)
	Used to load a MIQP problem, hence a MIP with quadratic objective coefficients, into the Optimizer data structures.
void	loadMIQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, XPRSint64 nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef, int nentities, int nsets, Array< char const > const &coltype, Array< int const > const &entind, Array< double const > const &limit, Array< char const > const &settype, Array< XPRSint64 const > const &setstart, Array< int const > const &setind, Array< double const > const &refval)
	Used to load a MIQP problem, hence a MIP with quadratic objective coefficients, into the Optimizer data structures.
void	loadModelCuts (int nrows, Array< int const > const &rowind)
	Specifies that a set of rows in the matrix will be treated as model cuts.
void	loadPresolveBasis (Array< int const > const &rowstat, Array< int const > const &colstat)
	Loads a presolved basis from the user's areas.
void	loadPresolveDirs (int ndirs, Array< int const > const &colind, Array< int const > const &priority, Array< char const > const &dir, Array< double const > const &uppseudo, Array< double const > const &downpseudo)
	Loads directives into the presolved matrix.
void	loadQCQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, int nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef, int nqrows, Array< int const > const &qrowind, Array< int const > const &nrowqcoef, Array< int const > const &rowqcol1, Array< int const > const &rowqcol2, Array< double const > const &rowqcoef)
	Used to load a quadratic problem with quadratic side constraints into the Optimizer data structure.
void	loadQCQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, XPRSint64 nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef, int nqrows, Array< int const > const &qrowind, Array< XPRSint64 const > const &nrowqcoef, Array< int const > const &rowqcol1, Array< int const > const &rowqcol2, Array< double const > const &rowqcoef)
	Used to load a quadratic problem with quadratic side constraints into the Optimizer data structure.
void	loadQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< int const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, int nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef)
	Used to load a quadratic problem into the Optimizer data structure.
void	loadQP (std::optional< std::string > const &probname, int ncols, int nrows, Array< char const > const &rowtype, Array< double const > const &rhs, Array< double const > const &rng, Array< double const > const &objcoef, Array< XPRSint64 const > const &start, Array< int const > const &collen, Array< int const > const &rowind, Array< double const > const &rowcoef, Array< double const > const &lb, Array< double const > const &ub, XPRSint64 nobjqcoefs, Array< int const > const &objqcol1, Array< int const > const &objqcol2, Array< double const > const &objqcoef)
	Used to load a quadratic problem into the Optimizer data structure.
void	loadSecureVecs (int nrows, int ncols, Array< int const > const &rowind, Array< int const > const &colind)
	Allows the user to mark rows and columns in order to prevent the presolve removing these rows and columns from the matrix.
void	lpOptimize ()
	This function begins a search for the optimal continuous (LP) solution.
void	lpOptimize (std::optional< std::string > const &flags)
	This function begins a search for the optimal continuous (LP) solution.
void	mipOptimize ()
	This function begins a tree search for the optimal MIP solution.
void	mipOptimize (std::optional< std::string > const &flags)
	This function begins a tree search for the optimal MIP solution.
void	msAddCustomPreset (std::optional< std::string > const &description, int preset, int maxjobs, int ninitial, Array< int const > const &colind, Array< double const > const &initial, int nintcontrols, Array< int const > const &intcontrolid, Array< int const > const &intcontrolval, int ndblcontrols, Array< int const > const &dblcontrolid, Array< double const > const &dblcontrolval, void *data)
	A combined version of XSLPmsaddjob and XSLPmsaddpreset.
void	msAddJob (std::optional< std::string > const &description, int ninitial, Array< int const > const &colind, Array< double const > const &initial, int nintcontrols, Array< int const > const &intcontrolid, Array< int const > const &intcontrolval, int ndblcontrols, Array< int const > const &dblcontrolid, Array< double const > const &dblcontrolval, void *data)
	Adds a multistart job to the multistart pool.
void	msAddPreset (std::optional< std::string > const &description, int preset, int maxjobs, void *data)
	Loads a preset of jobs into the multistart job pool.
void	msClear ()
	Removes all scheduled jobs from the multistart job pool.
auto	newBranchObject (bool isOriginal) -> BranchObject *
	Create a new branching object.
auto	nextIIS () -> int
	Continues the search for further Irreducible Infeasible Sets (IIS), or calls XPRSiisfirst (IIS) if no IIS has been identified yet.
void	nlpAddFormulas (int ncoefs, Array< int const > const &rowind, Array< int const > const &formulastart, int parsed, Array< int const > const &type, Array< double const > const &value)
	Add non-linear formulas to the SLP problem.
auto	nlpAddUserFunction (std::optional< std::string > funcname, int nIn, int nOut, int options, MultiMapDeltaFunctor functor) -> xpress::XPRSProblem::MultiMapDeltaFunction *
	Register a user function of type "multi map with partial derivatives".
auto	nlpAddUserFunction (std::optional< std::string > funcname, int nIn, int nOut, int options, MultiMapFunctor functor) -> xpress::XPRSProblem::MultiMapFunction *
	Register a user function of type "multi map".
auto	nlpAddUserFunction (std::optional< std::string > funcname, int nIn, int options, VecMapDeltaFunctor functor) -> xpress::XPRSProblem::VecMapDeltaFunction *
	Register a user function of type "vector map with partial derivatives".
auto	nlpAddUserFunction (std::optional< std::string > funcname, int nIn, int options, VecMapFunctor functor) -> xpress::XPRSProblem::VecMapFunction *
	Register a user function of type "vector map".
auto	nlpAddUserFunction (std::optional< std::string > funcname, int options, MapDeltaFunctor functor) -> xpress::XPRSProblem::MapDeltaFunction *
	Register a user function of type "map with derivative".
auto	nlpAddUserFunction (std::optional< std::string > funcname, int options, MapFunctor functor) -> xpress::XPRSProblem::MapFunction *
	Register a user function of type "map".
void	nlpCalcSlacks (Array< double const > const &solution, Array< double > const &slack)
	Calculate the slack values for the provided solution in the non-linear problem.
void	nlpChgFormula (int row, int parsed, Array< int const > const &type, Array< double const > const &value)
	Add or replace a single matrix formula using a parsed or unparsed formula.
void	nlpChgFormulaStr (int row, std::optional< std::string > const &formula)
	Add or replace a single matrix formula using a character string for the formula.
void	nlpCurrentIV ()
	Transfer the current solution to initial values.
void	nlpDelFormulas (int nformulas, Array< int const > const &rowind)
	Delete nonlinear formulas from the current problem.
void	nlpDelUserFunction (int type)
	Delete a user function from the current problem.
auto	nlpEvaluateFormula (int parsed, Array< int const > const &type, Array< double const > const &values) -> double
	Evaluate a formula using the current values of the variables.
void	nlpGetFormula (int row, int parsed, int maxtypes, int *p_ntypes, Array< int > const &type, Array< double > const &value)
	Retrieve a single matrix formula as a formula split into tokens.
void	nlpGetFormulaRows (int *p_nformulas, Array< int > const &rowind)
	Retrieve the list of positions of the nonlinear formulas in the problem.
void	nlpGetFormulaStr (int row, char *formula, int maxbytes, int *p_nbytes)
	Retrieve a single matrix formula in a character string.
void	nlpImportLibFunc (std::optional< std::string > const &libname, std::optional< std::string > const &funcname, XPRSfunctionptr *p_function, int *p_status)
	Imports a function from a library file to be called as a user function.
void	nlpLoadFormulas (int nnlpcoefs, Array< int const > const &rowind, Array< int const > const &formulastart, int parsed, Array< int const > const &type, Array< double const > const &value)
	Load non-linear formulas into the SLP problem.
void	nlpOptimize (std::optional< std::string > const &flags)
	Maximize or minimize an SLP problem.
void	nlpPostsolveProb ()
	Restores the problem to its pre-solve state.
void	nlpPrintEvalInfo ()
	Print a summary of any evaluation errors that may have occurred during solving a problem.
void	nlpSetFunctionError ()
	Set the function error flag for the problem.
void	nlpSetInitVal (int nvars, Array< int const > const &colind, Array< double const > const &initial)
	Set the initial value of a variable.
void	nlpValidate ()
	Validate the feasibility of constraints in a converged solution.
void	nlpValidateKKT (int mode, int respectbasis, int updatemult, double violtarget)
	Validates the first order optimality conditions also known as the Karush-Kuhn-Tucker (KKT) conditions versus the currect solution.
void	nlpValidateRow (int row)
	Prints an extensive analysis on a given constraint of the SLP problem.
void	nlpValidateVector (Array< double const > const &solution, double *p_suminf, double *p_sumscaledinf, double *p_objval)
	Validate the feasibility of constraints for a given solution.
void	objSA (int ncols, Array< int const > const &colind, Array< double > const &lower, Array< double > const &upper)
	Returns upper and lower sensitivity ranges for specified objective function coefficients.
auto	optimize () -> int
	Convenience wrapper for optimize(std::optional<std::string> const &, int *, int *).
void	optimize (std::optional< std::string > const &flags, int *solvestatus, int *solstatus)
	This function begins a search for the optimal solution of the problem.
auto	optimize (std::optional< std::string > flags) -> int
	Convenience wrapper for optimize(std::optional<std::string> const &, int *, int *).
void	pivot (int enter, int leave)
	Performs a simplex pivot by bringing variable enter into the basis and removing leave.
void	postSolve ()
	Postsolve the current matrix when it is in a presolved state.
auto	postSolveSol (Array< double const > const &prex) -> std::vector< double >
	Postsolves a primal solution formulated in the presolved space into the corresponding solution formulated in the original space.
void	presolveRow (char rowtype, int norigcoefs, Array< int const > const &origcolind, Array< double const > const &origrowcoef, double origrhs, int maxcoefs, int *p_ncoefs, Array< int > const &colind, Array< double > const &rowcoef, double *p_rhs, int *p_status)
	Presolves a row formulated in terms of the original variables such that it can be added to a presolved matrix.
auto	presolveRow (xpress::SizedArray< int const > const &ind, xpress::SizedArray< double const > const &val, char type, double rhs) -> std::optional< xpress::XPRSProblem::RowInfo >
	Presolve a row.
auto	presolveRow (xpress::XPRSProblem::RowInfo row) -> std::optional< xpress::XPRSProblem::RowInfo >
	Presolve a row.
void	printIIS (int iis)
	Prints a given Irreducible Infeasible Set (IIS) in the log.
void	readBasis ()
	Instructs the Optimizer to read in a previously saved basis from a file.
void	readBasis (std::optional< std::string > const &filename)
	Instructs the Optimizer to read in a previously saved basis from a file.
void	readBasis (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Instructs the Optimizer to read in a previously saved basis from a file.
void	readBinSol ()
	Reads a solution from a binary solution file.
void	readBinSol (std::optional< std::string > const &filename)
	Reads a solution from a binary solution file.
void	readBinSol (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Reads a solution from a binary solution file.
void	readDirs ()
	Reads a directives file to help direct the tree search.
void	readDirs (std::optional< std::string > const &filename)
	Reads a directives file to help direct the tree search.
void	readProb (std::optional< std::string > const &filename)
	Reads an (X)MPS or LP format matrix from file.
void	readProb (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Reads an (X)MPS or LP format matrix from file.
void	readSlxSol ()
	Reads an ASCII solution file [.slx] created by the XPRSwriteslxsol function.
void	readSlxSol (std::optional< std::string > const &filename)
	Reads an ASCII solution file [.slx] created by the XPRSwriteslxsol function.
void	readSlxSol (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Reads an ASCII solution file [.slx] created by the XPRSwriteslxsol function.
void	removeAfterObjectiveCallback (CallbackHandle const &callback)
	Remove an afterobjective callback.
void	removeAfterObjectiveCallbacks ()
	Remove all afterobjective callbacks.
void	removeBarIterationCallback (CallbackHandle const &callback)
	Remove a bariteration callback.
void	removeBarIterationCallbacks ()
	Remove all bariteration callbacks.
void	removeBarlogCallback (CallbackHandle const &callback)
	Remove a barlog callback.
void	removeBarlogCallbacks ()
	Remove all barlog callbacks.
void	removeBeforeObjectiveCallback (CallbackHandle const &callback)
	Remove a beforeobjective callback.
void	removeBeforeObjectiveCallbacks ()
	Remove all beforeobjective callbacks.
void	removeBeforeSolveCallback (CallbackHandle const &callback)
	Remove a beforesolve callback.
void	removeBeforeSolveCallbacks ()
	Remove all beforesolve callbacks.
void	removeChangeBranchObjectCallback (CallbackHandle const &callback)
	Remove a changebranchobject callback.
void	removeChangeBranchObjectCallbacks ()
	Remove all changebranchobject callbacks.
void	removeCheckTimeCallback (CallbackHandle const &callback)
	Remove a checktime callback.
void	removeCheckTimeCallbacks ()
	Remove all checktime callbacks.
void	removeComputeRestartCallback (CallbackHandle const &callback)
	Remove a computerestart callback.
void	removeComputeRestartCallbacks ()
	Remove all computerestart callbacks.
void	removeCutlogCallback (CallbackHandle const &callback)
	Remove a cutlog callback.
void	removeCutlogCallbacks ()
	Remove all cutlog callbacks.
void	removeCutRoundCallback (CallbackHandle const &callback)
	Remove a cutround callback.
void	removeCutRoundCallbacks ()
	Remove all cutround callbacks.
void	removeGapNotifyCallback (CallbackHandle const &callback)
	Remove a gapnotify callback.
void	removeGapNotifyCallbacks ()
	Remove all gapnotify callbacks.
void	removeInfnodeCallback (CallbackHandle const &callback)
	Remove an infnode callback.
void	removeInfnodeCallbacks ()
	Remove all infnode callbacks.
void	removeIntsolCallback (CallbackHandle const &callback)
	Remove an intsol callback.
void	removeIntsolCallbacks ()
	Remove all intsol callbacks.
void	removeLplogCallback (CallbackHandle const &callback)
	Remove a lplog callback.
void	removeLplogCallbacks ()
	Remove all lplog callbacks.
void	removeMessageCallback (CallbackHandle const &callback)
	Remove a message callback.
void	removeMessageCallbacks ()
	Remove all message callbacks.
void	removeMiplogCallback (CallbackHandle const &callback)
	Remove a miplog callback.
void	removeMiplogCallbacks ()
	Remove all miplog callbacks.
void	removeMipThreadCallback (CallbackHandle const &callback)
	Remove a mipthread callback.
void	removeMipThreadCallbacks ()
	Remove all mipthread callbacks.
void	removeMipThreadDestroyCallback (CallbackHandle const &callback)
	Remove a mipthreaddestroy callback.
void	removeMipThreadDestroyCallbacks ()
	Remove all mipthreaddestroy callbacks.
void	removeMsJobEndCallback (CallbackHandle const &callback)
	Remove a msjobend callback.
void	removeMsJobEndCallbacks ()
	Remove all msjobend callbacks.
void	removeMsJobStartCallback (CallbackHandle const &callback)
	Remove a msjobstart callback.
void	removeMsJobStartCallbacks ()
	Remove all msjobstart callbacks.
void	removeMsWinnerCallback (CallbackHandle const &callback)
	Remove a mswinner callback.
void	removeMsWinnerCallbacks ()
	Remove all mswinner callbacks.
void	removeNewnodeCallback (CallbackHandle const &callback)
	Remove a newnode callback.
void	removeNewnodeCallbacks ()
	Remove all newnode callbacks.
void	removeNlpCoefEvalErrorCallback (CallbackHandle const &callback)
	Remove a nlpcoefevalerror callback.
void	removeNlpCoefEvalErrorCallbacks ()
	Remove all nlpcoefevalerror callbacks.
void	removeNodecutoffCallback (CallbackHandle const &callback)
	Remove a nodecutoff callback.
void	removeNodecutoffCallbacks ()
	Remove all nodecutoff callbacks.
void	removeNodeLPSolvedCallback (CallbackHandle const &callback)
	Remove a nodelpsolved callback.
void	removeNodeLPSolvedCallbacks ()
	Remove all nodelpsolved callbacks.
void	removeOptnodeCallback (CallbackHandle const &callback)
	Remove an optnode callback.
void	removeOptnodeCallbacks ()
	Remove all optnode callbacks.
void	removePreIntsolCallback (CallbackHandle const &callback)
	Remove a preintsol callback.
void	removePreIntsolCallbacks ()
	Remove all preintsol callbacks.
void	removePrenodeCallback (CallbackHandle const &callback)
	Remove a prenode callback.
void	removePrenodeCallbacks ()
	Remove all prenode callbacks.
void	removePresolveCallback (CallbackHandle const &callback)
	Remove a presolve callback.
void	removePresolveCallbacks ()
	Remove all presolve callbacks.
void	removeSlpCascadeEndCallback (CallbackHandle const &callback)
	Remove a slpcascadeend callback.
void	removeSlpCascadeEndCallbacks ()
	Remove all slpcascadeend callbacks.
void	removeSlpCascadeStartCallback (CallbackHandle const &callback)
	Remove a slpcascadestart callback.
void	removeSlpCascadeStartCallbacks ()
	Remove all slpcascadestart callbacks.
void	removeSlpCascadeVarCallback (CallbackHandle const &callback)
	Remove a slpcascadevar callback.
void	removeSlpCascadeVarCallbacks ()
	Remove all slpcascadevar callbacks.
void	removeSlpCascadeVarFailCallback (CallbackHandle const &callback)
	Remove a slpcascadevarfail callback.
void	removeSlpCascadeVarFailCallbacks ()
	Remove all slpcascadevarfail callbacks.
void	removeSlpConstructCallback (CallbackHandle const &callback)
	Remove a slpconstruct callback.
void	removeSlpConstructCallbacks ()
	Remove all slpconstruct callbacks.
void	removeSlpDrColCallback (CallbackHandle const &callback)
	Remove a slpdrcol callback.
void	removeSlpDrColCallbacks ()
	Remove all slpdrcol callbacks.
void	removeSlpIntSolCallback (CallbackHandle const &callback)
	Remove a slpintsol callback.
void	removeSlpIntSolCallbacks ()
	Remove all slpintsol callbacks.
void	removeSlpIterEndCallback (CallbackHandle const &callback)
	Remove a slpiterend callback.
void	removeSlpIterEndCallbacks ()
	Remove all slpiterend callbacks.
void	removeSlpIterStartCallback (CallbackHandle const &callback)
	Remove a slpiterstart callback.
void	removeSlpIterStartCallbacks ()
	Remove all slpiterstart callbacks.
void	removeSlpIterVarCallback (CallbackHandle const &callback)
	Remove a slpitervar callback.
void	removeSlpIterVarCallbacks ()
	Remove all slpitervar callbacks.
void	removeSlpPreUpdateLinearizationCallback (CallbackHandle const &callback)
	Remove a slppreupdatelinearization callback.
void	removeSlpPreUpdateLinearizationCallbacks ()
	Remove all slppreupdatelinearization callbacks.
void	removeUserSolNotifyCallback (CallbackHandle const &callback)
	Remove an usersolnotify callback.
void	removeUserSolNotifyCallbacks ()
	Remove all usersolnotify callbacks.
auto	repairInfeas (char penalty, char phase2, char flags, double lepref, double gepref, double lbpref, double ubpref, double delta) -> int
	Provides a simplified interface for XPRSrepairweightedinfeas.
auto	repairWeightedInfeas (Array< double const > const &lepref, Array< double const > const &gepref, Array< double const > const &lbpref, Array< double const > const &ubpref, char phase2, double delta, std::optional< std::string > const &flags) -> int
	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.
auto	repairWeightedInfeasBounds (Array< double const > const &lepref, Array< double const > const &gepref, Array< double const > const &lbpref, Array< double const > const &ubpref, Array< double const > const &lerelax, Array< double const > const &gerelax, Array< double const > const &lbrelax, Array< double const > const &ubrelax, char phase2, double delta, std::optional< std::string > const &flags) -> int
	An extended version of XPRSrepairweightedinfeas that allows for bounding the level of relaxation allowed.
void	restore ()
	Restores the Optimizer's data structures from a file created by XPRSsave (SAVE).
void	restore (std::optional< std::string > const &probname)
	Restores the Optimizer's data structures from a file created by XPRSsave (SAVE).
void	restore (std::optional< std::string > const &probname, std::optional< std::string > const &flags)
	Restores the Optimizer's data structures from a file created by XPRSsave (SAVE).
void	rhsSA (int nrows, Array< int const > const &rowind, Array< double > const &lower, Array< double > const &upper)
	Returns upper and lower sensitivity ranges for specified right hand side (RHS) function coefficients.
void	save ()
	Saves the current data structures, i.e.
void	saveAs (std::optional< std::string > const &sSaveFileName)
	Saves the current data structures, i.e.
void	scale (Array< int const > const &rowscale, Array< int const > const &colscale)
	Re-scales the current matrix.
void	setDblControl (int control, double value)
	Sets the value of a given double control parameter.
void	setDefaultControl (int control)
	Sets a single control to its default value.
void	setDefaults ()
	Sets all controls to their default values.
auto	setIndicator (int rowind, int colind, int complement) -> void
	Add a single indicator constraint.
void	setIndicators (int nrows, Array< int const > const &rowind, Array< int const > const &colind, Array< int const > const &complement)
	Specifies that a set of rows in the matrix will be treated as indicator constraints during a tree search.
void	setIntControl (int control, int value)
	Sets the value of a given integer control parameter.
void	setLogFile (std::optional< std::string > const &filename)
	This directs all Optimizer output to a log file.
void	setLongControl (int control, XPRSint64 value)
	Sets the value of a given integer control parameter.
void	setMessageStatus (int msgcode, int status)
	Manages suppression of messages.
void	setObjDblControl (int objidx, ObjControl control, double value)
	Sets the value of a given double control parameter associated with an objective.
auto	setObjective (xpress::SizedArray< int const > const &ind, xpress::SizedArray< double const > const &val) -> void
	Set objective to a linear function.
auto	setObjective (xpress::SizedArray< int const > const &ind, xpress::SizedArray< double const > const &val, xpress::ObjSense sense) -> void
	Set objective to a linear function.
void	setObjIntControl (int objidx, ObjControl control, int value)
	Sets the value of a given integer control parameter associated with an objective.
void	setProbName (std::optional< std::string > const &probname)
	Sets the current default problem name.
void	setStrControl (int control, std::optional< std::string > const &value)
	Used to set the value of a given string control parameter.
void	slpAddCoefs (int ncoefs, Array< int const > const &rowind, Array< int const > const &colind, Array< double const > const &factor, Array< int const > const &formulastart, int parsed, Array< int const > const &type, Array< double const > const &value)
	Add non-linear coefficients to the SLP problem.
void	slpCascadeOrder ()
	Establish a re-calculation sequence for SLP variables with determining rows.
void	slpCascadeSol ()
	Re-calculate consistent values for SLP variables based on the current values of the remaining variables.
void	slpChgCascadeNLimit (int col, int limit)
	Set a variable specific cascade iteration limit.
void	slpChgCoef (int row, int col, double *factor, int parsed, Array< int const > const &type, Array< double const > const &value)
	Add or change a single matrix coefficient using a parsed or unparsed formula.
void	slpChgCoefStr (int row, int col, double *factor, std::optional< std::string > const &formula)
	Add or change a single matrix coefficient using a character string for the formula.
void	slpChgDeltaType (int nvars, Array< int const > const &varind, Array< int const > const &deltatypes, Array< double const > const &values)
	Changes the type of the delta assigned to a nonlinear variable.
auto	slpChgRowStatus (int row) -> int
	Change the status setting of a constraint.
void	slpChgRowWt (int row, double *weight)
	Set or change the initial penalty error weight for a row.
void	slpConstruct ()
	Create the full augmented SLP matrix and data structures, ready for optimization.
void	slpDelCoefs (int ncoefs, Array< int const > const &rowind, Array< int const > const &colind)
	Delete coefficients from the current problem.
auto	slpEvaluateCoef (int row, int col) -> double
	Evaluate a coefficient using the current values of the variables.
void	slpFixPenalties (int *p_status)
	Fixe the values of the error vectors.
void	slpGetCoefFormula (int row, int col, double *p_factor, int parsed, int maxtypes, int *p_ntypes, Array< int > const &type, Array< double > const &value)
	Retrieve a single matrix coefficient as a formula split into tokens.
void	slpGetCoefs (int *p_ncoefs, Array< int > const &rowind, Array< int > const &colind)
	Retrieve the list of positions of the nonlinear coefficients in the problem.
void	slpGetCoefStr (int row, int col, double *p_factor, char *formula, int maxbytes, int *p_nbytes)
	Retrieve a single matrix coefficient as a formula in a character string.
void	slpGetRowStatus (int row, int *p_status)
	Retrieve the status setting of a constraint.
auto	slpGetRowWT (int row) -> double
	Get the initial penalty error weight for a row.
void	slpLoadCoefs (int ncoefs, Array< int const > const &rowind, Array< int const > const &colind, Array< double const > const &factor, Array< int const > const &formulastart, int parsed, Array< int const > const &type, Array< double const > const &coef)
	Load non-linear coefficients into the SLP problem.
void	slpReInitialize ()
	Reset the SLP problem to match a just augmented system.
void	slpSetDetRow (int nvars, Array< int const > const &colind, Array< int const > const &rowind)
	Set the determining row of a variable.
void	slpUnConstruct ()
	Removes the augmentation and returns the problem to its pre-linearization state.
void	slpUpdateLinearization ()
	Updates the current linearization.
void	sparseBTran (Array< double > const &val, Array< int > const &ind, int *p_ncoefs)
	Post-multiplies a (row) vector provided by the user by the inverse of the current matrix.
void	sparseFTran (Array< double > const &val, Array< int > const &ind, int *p_ncoefs)
	Pre-multiplies a (column) vector provided by the user by the inverse of the current matrix.
auto	storeCuts (int ncuts, int nodups, Array< int const > const &cuttype, Array< char const > const &rowtype, Array< double const > const &rhs, Array< int const > const &start, Array< int const > const &colind, Array< double const > const &cutcoef) -> std::vector< XPRScut >
	Stores cuts into the cut pool, but does not apply them to the current node.
auto	storeCuts (int ncuts, int nodups, Array< int const > const &cuttype, Array< char const > const &rowtype, Array< double const > const &rhs, Array< XPRSint64 const > const &start, Array< int const > const &colind, Array< double const > const &cutcoef) -> std::vector< XPRScut >
	Stores cuts into the cut pool, but does not apply them to the current node.
void	strongBranch (int nbounds, Array< int const > const &colind, Array< char const > const &bndtype, Array< double const > const &bndval, int iterlim, Array< double > const &objval, Array< int > const &status)
	Performs strong branching iterations on all specified bound changes.
void	strongBranchCB (int nbounds, Array< int const > const &colind, Array< char const > const &bndtype, Array< double const > const &bndval, int iterlim, Array< double > const &objval, Array< int > const &status, std::function< int(XPRSProblem &, int)> callback)
	Performs strong branching iterations on all specified bound changes.
void	tune (std::optional< std::string > const &flags)
	This function begins a tuner session for the current problem.
void	tuneProbSetFile (std::optional< std::string > const &setfile, int ifmip, int sense)
	This function begins a tuner session for a set of problems.
void	tunerReadMethod (std::optional< std::string > const &methodfile)
	This function loads a user defined tuner method from the given file.
void	tunerWriteMethod (std::optional< std::string > const &methodfile)
	This function writes the current tuner method to a given file or prints it to the console.
void	unloadProb ()
	Unloads and frees all memory associated with the current problem.
void	writeBasis ()
	Writes the current basis to a file for later input into the Optimizer.
void	writeBasis (std::optional< std::string > const &filename)
	Writes the current basis to a file for later input into the Optimizer.
void	writeBasis (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Writes the current basis to a file for later input into the Optimizer.
void	writeBinSol ()
	Writes the current MIP or LP solution to a binary solution file for later input into the Optimizer.
void	writeBinSol (std::optional< std::string > const &filename)
	Writes the current MIP or LP solution to a binary solution file for later input into the Optimizer.
void	writeBinSol (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Writes the current MIP or LP solution to a binary solution file for later input into the Optimizer.
void	writeDirs ()
	Writes the tree search directives from the current problem to a directives file.
void	writeDirs (std::optional< std::string > const &filename)
	Writes the tree search directives from the current problem to a directives file.
void	writeIIS (int iis, std::optional< std::string > const &filename, int filetype)
	Writes an LP/MPS/CSV file containing a given Irreducible Infeasible Set (IIS).
void	writeIIS (int iis, std::optional< std::string > const &filename, int filetype, std::optional< std::string > const &flags)
	Writes an LP/MPS/CSV file containing a given Irreducible Infeasible Set (IIS).
void	writeProb ()
	Writes the current problem to an MPS or LP file.
void	writeProb (std::optional< std::string > const &filename)
	Writes the current problem to an MPS or LP file.
void	writeProb (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Writes the current problem to an MPS or LP file.
void	writePrtSol ()
	Writes the current solution to a fixed format ASCII file, problem_name .prt.
void	writePrtSol (std::optional< std::string > const &filename)
	Writes the current solution to a fixed format ASCII file, problem_name .prt.
void	writePrtSol (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Writes the current solution to a fixed format ASCII file, problem_name .prt.
void	writeSlxSol ()
	Creates an ASCII solution file (.slx) using a similar format to MPS files.
void	writeSlxSol (std::optional< std::string > const &filename)
	Creates an ASCII solution file (.slx) using a similar format to MPS files.
void	writeSlxSol (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Creates an ASCII solution file (.slx) using a similar format to MPS files.
void	writeSol ()
	Writes the current solution to a CSV format ASCII file, problem_name.asc (and .hdr).
void	writeSol (std::optional< std::string > const &filename)
	Writes the current solution to a CSV format ASCII file, problem_name.asc (and .hdr).
void	writeSol (std::optional< std::string > const &filename, std::optional< std::string > const &flags)
	Writes the current solution to a CSV format ASCII file, problem_name.asc (and .hdr).

Static Public Member Functions
static void	console (XpressProblem &prob, char const *msg, int msglen, int msgtype)
	Default implementation for message listener.
static auto	isNullVariable (Variable v) -> bool
	Check whether a variable is the same as NULL_VARIABLE.
Static Public Member Functions inherited from xpress::XPRSProblem
static void	console (XPRSProblem &prob, char const *msg, int msglen, int msgtype)
	Default implementation for message listener.

Public Attributes
CallbackAPI	callbacks
	Callbacks for this problem.
Public Attributes inherited from xpress::XPRSProblem
Attributes	attributes
	Attributess for this problem.
Controls	controls
	Controlss for this problem.

Static Public Attributes
static Variable const	NULL_VARIABLE = Variable(nullptr, -1, xpress::objects::XpressProblem::NULL_VARIABLE_INDEX )
	Variable object that is used to indicate a constant term in expressions that are implemented as maps.
Static Public Attributes inherited from xpress::XPRSProblem
static constexpr char const	EQ = 'E'
	Constraint sense for == constraints.
static constexpr char const	GEQ = 'G'
	Constraint sense for >= constraints.
static constexpr char const	LEQ = 'L'
	Constraint sense for <= constraints.

Additional Inherited Members
Public Types inherited from xpress::XPRSProblem
typedef std::function< double(double, double, double *)>	MapDeltaFunctor
	Function that maps a value to a value and also provides derivatives.
typedef std::function< double(double)>	MapFunctor
	Function that maps a value to a value.
typedef std::function< std::vector< double >(double const *, double const *, double *)>	MultiMapDeltaFunctor
	Function that maps an array of values to an array of values and also provides derivatives.
typedef std::function< std::vector< double >(double const *)>	MultiMapFunctor
	Function that maps an array of values to an array of values.
typedef std::function< double(double const *, double const *, double *)>	VecMapDeltaFunctor
	Function that maps an array of values to a single value and also provides derivatives.
typedef std::function< double(double const *)>	VecMapFunctor
	Function that maps an array of values to a single value.
Protected Member Functions inherited from xpress::XPRSProblem
	XPRSProblem (XPRSprob p)
	Create a new instance from an existing low-level pointer.

Detailed Description

Constructor & Destructor Documentation

XpressProblem() [1/3]

XpressProblem() [2/3]

XpressProblem() [3/3]

Member Function Documentation

addConstraint()

addConstraints() [1/12]

addConstraints() [2/12]

addConstraints() [3/12]

addConstraints() [4/12]

addConstraints() [5/12]

addConstraints() [6/12]

addConstraints() [7/12]

addConstraints() [8/12]

addConstraints() [9/12]

addConstraints() [10/12]

addConstraints() [11/12]

addConstraints() [12/12]

addCut()

addManagedCut()

addMipSol() [1/4]

addMipSol() [2/4]

addMipSol() [3/4]

addMipSol() [4/4]

addObjective()

addVariable() [1/7]

addVariable() [2/7]

addVariable() [3/7]

addVariable() [4/7]

addVariable() [5/7]

addVariable() [6/7]

addVariable() [7/7]

addVariables() [1/10]

addVariables() [2/10]

addVariables() [3/10]

addVariables() [4/10]

addVariables() [5/10]

addVariables() [6/10]

addVariables() [7/10]

addVariables() [8/10]

addVariables() [9/10]

addVariables() [10/10]

bndSA() [1/3]

bndSA() [2/3]

bndSA() [3/3]

chgBounds() [1/3]

chgBounds() [2/3]

chgBounds() [3/3]

chgCoef() [1/2]

chgCoef() [2/2]

chgCoefs()

chgColType() [1/2]

chgColType() [2/2]

chgObj() [1/3]

chgObj() [2/3]

chgObj() [3/3]

chgObjN() [1/3]

chgObjN() [2/3]

chgObjN() [3/3]

chgRhs() [1/2]

chgRhs() [2/2]

chgRhsRange() [1/2]

chgRhsRange() [2/2]

chgRowType() [1/2]

chgRowType() [2/2]

console()

createBranchObject()

delCols()

delGenCons()

delGeneralConstraints()

delIndicator()

delInequalities()

delPwlCons()

delPwlConstraints()

delRows()

delSets()

delSOS() [1/2]

delSOS() [2/2]

delVariables()

generalConstraintForIndex()

generalConstraintForIndices()

getCallbackDual() [1/2]

getCallbackDual() [2/2]

getCallbackDuals() [1/4]

getCallbackDuals() [2/4]

getCallbackDuals() [3/4]

getCallbackDuals() [4/4]

getCallbackRedCost() [1/2]

getCallbackRedCost() [2/2]

getCallbackRedCosts() [1/4]

getCallbackRedCosts() [2/4]

getCallbackRedCosts() [3/4]

getCallbackRedCosts() [4/4]

getCallbackSlack() [1/2]

getCallbackSlack() [2/2]

getCallbackSlacks() [1/4]

getCallbackSlacks() [2/4]

getCallbackSlacks() [3/4]

getCallbackSlacks() [4/4]

getCallbackSolution() [1/6]

getCallbackSolution() [2/6]

getCallbackSolution() [3/6]

getCallbackSolution() [4/6]

getCallbackSolution() [5/6]

getCallbackSolution() [6/6]

getCoef() [1/2]

getCoef() [2/2]

getDual() [1/2]

getDual() [2/2]

getDuals() [1/4]

getDuals() [2/4]

getDuals() [3/4]

getDuals() [4/4]

getGeneralConstraints()

getIIS()

getIndicator()

getInequalities()

getLhsExpression()

getObj() [1/2]

getObj() [2/2]

getObjN() [1/2]

getObjN() [2/2]

getPWLs()

getRedCost() [1/2]

getRedCost() [2/2]

getRedCosts() [1/4]

getRedCosts() [2/4]

getRedCosts() [3/4]

getRedCosts() [4/4]

getSlack() [1/2]

getSlack() [2/2]

getSlacks() [1/4]

getSlacks() [2/4]

getSlacks() [3/4]

getSlacks() [4/4]

getSolution() [1/6]

getSolution() [2/6]

getSolution() [3/6]

getSolution() [4/6]

getSolution() [5/6]

getSolution() [6/6]

getSOSs()

getVariables()

inequalitiesForIndices()

inequalityForIndex()

isNullVariable()

isOriginal()

loadDelayedRows() [1/2]

loadDelayedRows() [2/2]

loadModelCuts() [1/2]

loadModelCuts() [2/2]

nlpSetInitVal() [1/3]

nlpSetInitVal() [2/3]

nlpSetInitVal() [3/3]

objSA() [1/3]

objSA() [2/3]

objSA() [3/3]

pwlForIndex()

pwlsForIndices()

repairWeightedInfeas() [1/2]

repairWeightedInfeas() [2/2]

rhsSA() [1/3]

rhsSA() [2/3]

rhsSA() [3/3]

setIndicator()

setIndicators() [1/4]

setIndicators() [2/4]

setIndicators() [3/4]

setIndicators() [4/4]

setObjective() [1/3]

setObjective() [2/3]

setObjective() [3/3]

slpSetDetRow() [1/2]

slpSetDetRow() [2/2]

sosForIndex()

sosForIndices()

variableForIndex()

variablesForIndices()

Member Data Documentation

callbacks

NULL_VARIABLE

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The documentation for this class was generated from the following file:

• xpress_objects.hpp