GamsModel Class Reference

Representation of a mixed-integer linear GAMS model read in from GAMS iolib. More...

#include <GamsModel.hpp>

Public Types
enum	BasisStatus {   NonBasicLower = 0, NonBasicUpper, Basic, SuperBasic,   LastBasisStatus }
	Basis status indicator used in GAMS. More...
enum	VariableStatus {   VarNormal = 0, VarNonOptimal, VarInfeasible, VarUnbounded,   VarLastStatus }
	Column status indicator used in GAMS. More...
enum	RowStatus {   RowNormal = 0, RowNonOptimal, RowInfeasible, RowUnbounded,   RowLastStatus }
	Row status indicator used in GAMS. More...
enum	SolverStatus {   SolverStatusNotSet = 0, NormalCompletion = 1, IterationInterrupt, ResourceInterrupt,   TerminatedBySolver, EvaluationErrorLimit, CapabilityProblems, LicensingProblems,   UserInterrupt, ErrorSetupFailure, ErrorSolverFailure, ErrorInternalSolverError,   SolveProcessingSkipped, ErrorSystemFailure, LastSolverStatus }
	GAMS Solver status codes. More...
enum	ModelStatus {   ModelStatusNotSet = 0, Optimal, LocallyOptimal, Unbounded,   Infeasible, LocallyInfeasible, IntermediateInfeasible, IntermediateNonoptimal,   IntegerSolution, IntermediateNonInteger, IntegerInfeasible, LicensingProblemNoSolution,   ErrorUnknown, ErrorNoSolution, NoSolutionReturned, SolvedUnique,   Solved, SolvedSingular, UnboundedNoSolution, InfeasibleNoSolution,   LastModelStatus }
	GAMS Model status codes. More...
enum	PrintMask { LogMask = 0x1, StatusMask = 0x2, AllMask = LogMask|StatusMask, LastPrintMask }
	Distinguishing between message types. More...

Public Member Functions
	GamsModel (const char *cntrfile)
	Constructor. More...
	~GamsModel ()
	Destructor. More...
void	readMatrix ()
	Reads the LP from the GAMS matrix file and stores it into the data structures of this class. More...
const char *	getSystemDir ()
	Name of GAMS System directory. More...
double	getMInfinity () const
	Value used by GAMS for minus infinity. More...
double	getPInfinity () const
	Value used by GAMS for plus infinity. More...
void	setInfinity (const double &SolverMInf, const double &SolverPInf)
	Set values that GAMS should use for minus and plus infinity. More...
bool	isReformulated () const
	Tells whether the model has been reformulated by moving the objective equation into the objective and eliminating the objective variable. More...
Output
void	PrintOut (PrintMask mask, const char *msg)
	Log- and Statusfile print function. More...
int	getSysOut ()
	If SysOut is set, the solver should give plenty off output. More...
Timing.
void	TimerStart ()
	Starts the GAMS timer. More...
double	SecondsSinceStart ()
	The number of seconds since the GAMS timer was started. More...
Accessing the GAMS model.
bool	isLP () const
	Indicates whether we represent an LP or not. More...
int	nCols () const
	The number of columns in the model. More...
int	nDCols () const
	The number of discrete columns in the model. More...
int	nSOS1 () const
	The number of special ordered sets of type 1 in the model. More...
int	nSOS2 () const
	The number of special ordered sets of type 2 in the model. More...
int	nSemiContinuous () const
	The number of semicontinuous variables. More...
int	nRows () const
	The number of rows in the model. More...
int	nNnz () const
	The number of nonzeros in the matrix of the model. More...
double *	ColLb ()
	The column lower bounds. More...
double *	ColUb ()
	The column upper bounds. More...
bool *	ColDisc ()
	Indicates whether a variable is discrete (true) or not (false). More...
int *	SOSIndicator ()
	The special ordered sets indicator. More...
bool *	ColSemiContinuous ()
	Indicates whether a variable is semicontinuous or semiinteger (true) or not (false). More...
double *	ColLevel ()
	Initial values and storage for the solution values of the primal variables. More...
double *	ColMargin ()
	Initial marginals and storage for the solution values of the dual variables corresponding to the column bound constraints (reduced costs). More...
int *	ColBasis ()
	Initial basis status and storage for the solution basis status of the columns. More...
double *	ColPriority ()
	Branching priorities of columns. More...
double *	ColScale ()
	Scaling parameters for columns. More...
char *	RowSense ()
	The sense of the rows. More...
double *	RowRhs ()
	The right-hand-side of the rows. More...
double *	RowLevel ()
	Initial values and storage for the solution levels of the rows (row activities). More...
double *	RowMargin ()
	Initial marginals and storage for the solution values of the dual variables corresponding to the rows (row prices). More...
int *	RowBasis ()
	Initial basis status and storage for the solution basis status of the rows. More...
double *	RowScale ()
	Scaling parameters for rows. More...
double *	ObjCoef ()
	The coefficients of the objective function (dense format). More...
double	ObjConstant ()
	A constant term in the objective function. More...
double	ObjSense () const
	The sense of the objective function or optimization, respectively. More...
double	ObjScale () const
	Scaling parameter for objective function. More...
int *	matStart ()
	The column starts for the problem matrix. More...
int *	matRowIdx ()
	The row indices for the problem matrix. More...
double *	matValue ()
	The values for the problem matrix. More...
int	matSqueezeZeros ()
	Removes zero entries in the problem matrix. More...
Setting solution information.
ModelStatus	getModelStatus ()
	The current GAMS model status. More...
SolverStatus	getSolverStatus ()
	The current GAMS solver status. More...
void	setStatus (const SolverStatus &newSolverStatus, const ModelStatus &newModelStatus)
	Sets the GAMS solver and model status. More...
void	setIterUsed (const int IterUsed)
	Sets the number of iterations used. More...
void	setResUsed (const double ResUsed)
	Sets the number of seconds used. More...
void	setNodesUsed (const int NodesUsed)
	Sets the number of nodes used (in a branch-and-bound algorithm). More...
void	setObjVal (const double ObjVal)
	Sets the objective function value in the solution. More...
void	setObjBound (const double ObjBound)
	Sets an bound (estimate) on the optimal value. More...
double	getObjVal ()
	Gives the stored objective function value. More...
double	getResUsed ()
	Gives the stored number of seconds used. More...
int *	ColIndicator ()
	Storage for column indicators. More...
int *	RowIndicator ()
	Storage for row indicators. More...
void	setSolution (const double *ColLevel=0, const double *ColMargin=0, const int *ColBasis=0, const int *ColIndicator=0, const double *RowLevel=0, const double *RowMargin=0, const int *RowBasis=0, const int *RowIndicator=0)
	Sets the solution information and writes the solution file. More...
GAMS specific options and parameters
double	getResLim ()
	GAMS Parameter: Time limit for model run in seconds. More...
int	getIterLim ()
	GAMS Parameter: Iteration limit for model run. More...
int	getNodeLim ()
	GAMS Parameter: Node limit for model run if using a branch-and-bound algorithm. More...
int	getGamsInteger (int nr)
	GAMS Parameter: Integers 1 to 5. More...
int	getGamsInteger (int intnr, int bitnr)
	GAMS Parameter: Integers 1 to 5, bitwise. More...
double	getOptCA ()
	GAMS Parameter: Allowed absolute difference between incumbent solution and best bound (for MIPs). More...
double	getOptCR ()
	GAMS Parameter: Allowed relative difference between incumbent solution and best bound (for MIPs). More...
double	getCheat ()
	GAMS Parameter: A new valid solution must be at least this much better than incumbent integer solution (for MIPs). More...
double	getCutOff ()
	GAMS Parmeter: Implied upper/lower bound on objective function. More...
bool	getScaleOption ()
	GAMS Option: If set, then the solver should use the scaling parameters in ColScale() and RowScale(). More...
bool	getPriorityOption ()
	GAMS Option: If set, then the solver should use the branching priorities in ColPriority(). More...
const char *	getOptionfile ()
	The name of the option file. More...

Private Member Functions
void	Allocate ()

Private Attributes
int	nCols_
	Indicates whether we have column and row names. More...
int	nDCols_
int	nSOS1_
int	nSOS2_
int	nSemiCon_
int	nRows_
int	nNnz_
double	startTime_
double *	ColLb_
double *	ColUb_
bool *	ColDisc_
int *	SOSIndicator_
bool *	ColSemiCon_
double *	ColLevel_
double *	ColMargin_
int *	ColBasis_
double *	ColPriority_
double *	ColScale_
int *	ColIndicator_
char *	RowSense_
double *	RowRhs_
double *	RowScale_
double *	RowLevel_
double *	RowMargin_
int *	RowBasis_
int *	RowIndicator_
double	ObjSense_
double *	ObjCoef_
double	ObjRhs_
double	zCoef_
double	ObjScale_
int	isReform_
int *	matStart_
int *	matRowIdx_
double *	matValue_
double	ObjVal_
double	ObjBound_
double	ResUsed_
int	IterUsed_
int	DomUsed_
int	NodeUsed_
SolverStatus	SolverStatus_
ModelStatus	ModelStatus_

Detailed Description

Representation of a mixed-integer linear GAMS model read in from GAMS iolib.

This class is a layer between the GAMS I/O libraries and the GAMS-interfaces to (OSI-compatible) LP and MIP solvers.

Definition at line 21 of file GamsModel.hpp.

Member Enumeration Documentation

enum GamsModel::BasisStatus

Basis status indicator used in GAMS.

Enumerator
NonBasicLower
NonBasicUpper
Basic
SuperBasic
LastBasisStatus

Definition at line 25 of file GamsModel.hpp.

enum GamsModel::VariableStatus

Column status indicator used in GAMS.

Enumerator
VarNormal
VarNonOptimal
VarInfeasible
VarUnbounded
VarLastStatus

Definition at line 35 of file GamsModel.hpp.

enum GamsModel::RowStatus

Row status indicator used in GAMS.

Enumerator
RowNormal
RowNonOptimal
RowInfeasible
RowUnbounded
RowLastStatus

Definition at line 45 of file GamsModel.hpp.

enum GamsModel::SolverStatus

GAMS Solver status codes.

Enumerator
SolverStatusNotSet
NormalCompletion
IterationInterrupt
ResourceInterrupt
TerminatedBySolver
EvaluationErrorLimit
CapabilityProblems
LicensingProblems
UserInterrupt
ErrorSetupFailure
ErrorSolverFailure
ErrorInternalSolverError
SolveProcessingSkipped
ErrorSystemFailure
LastSolverStatus

Definition at line 55 of file GamsModel.hpp.

enum GamsModel::ModelStatus

GAMS Model status codes.

Enumerator
ModelStatusNotSet
Optimal
LocallyOptimal
Unbounded
Infeasible
LocallyInfeasible
IntermediateInfeasible
IntermediateNonoptimal
IntegerSolution
IntermediateNonInteger
IntegerInfeasible
LicensingProblemNoSolution
ErrorUnknown
ErrorNoSolution
NoSolutionReturned
SolvedUnique
Solved
SolvedSingular
UnboundedNoSolution
InfeasibleNoSolution
LastModelStatus

Definition at line 75 of file GamsModel.hpp.

enum GamsModel::PrintMask

Distinguishing between message types.

Enumerator
LogMask
StatusMask
AllMask
LastPrintMask

Definition at line 101 of file GamsModel.hpp.

Constructor & Destructor Documentation

GamsModel::GamsModel

(

const char *

cntrfile

)

Constructor.

Note, that you need to call readMatrix() before you can access the LP. After constructing a GamsModel you have only access to the options file and can, e.g., change the value for infinity.

Parameters

cntrfile

Name of GAMS control file.

GamsModel::~GamsModel

(

)

Destructor.

Member Function Documentation

void GamsModel::readMatrix

(

)

Reads the LP from the GAMS matrix file and stores it into the data structures of this class.

void GamsModel::PrintOut	(	PrintMask	mask,
		const char *	msg
	)

Log- and Statusfile print function.

If the PrintMask is set to LogMask, the message appears in the logfile, if the PrintMask is set to StatusMask, the message appears in the statusfile, and if the message is set to AllMask, the message appears in both log- and statusfile.

Parameters

mask	Tell where the message should be printed to.
msg	The message to print. It has to be terminated by a zero.

int GamsModel::getSysOut

(

)

If SysOut is set, the solver should give plenty off output.

void GamsModel::TimerStart

(

)

Starts the GAMS timer.

double GamsModel::SecondsSinceStart

(

)

The number of seconds since the GAMS timer was started.

const char* GamsModel::getSystemDir

(

)

Name of GAMS System directory.

Returns

Name of GAMS System directory, or NULL if not available.

double GamsModel::getMInfinity

(

)

const

Value used by GAMS for minus infinity.

double GamsModel::getPInfinity

(

)

const

Value used by GAMS for plus infinity.

void GamsModel::setInfinity	(	const double &	SolverMInf,
		const double &	SolverPInf
	)

Set values that GAMS should use for minus and plus infinity.

bool GamsModel::isReformulated ( ) const

inline

Tells whether the model has been reformulated by moving the objective equation into the objective and eliminating the objective variable.

Definition at line 167 of file GamsModel.hpp.

References isReform_.

bool GamsModel::isLP

(

)

const

Indicates whether we represent an LP or not.

It is an LP, if there are no discrete columns, no SOS, and no semicontinuous variables.

int GamsModel::nCols ( ) const

inline

The number of columns in the model.

Definition at line 177 of file GamsModel.hpp.

References nCols_.

int GamsModel::nDCols ( ) const

inline

The number of discrete columns in the model.

Definition at line 180 of file GamsModel.hpp.

References nDCols_.

int GamsModel::nSOS1 ( ) const

inline

The number of special ordered sets of type 1 in the model.

Definition at line 183 of file GamsModel.hpp.

References nSOS1_.

int GamsModel::nSOS2 ( ) const

inline

The number of special ordered sets of type 2 in the model.

Definition at line 186 of file GamsModel.hpp.

References nSOS2_.

int GamsModel::nSemiContinuous ( ) const

inline

The number of semicontinuous variables.

Definition at line 189 of file GamsModel.hpp.

References nSemiCon_.

int GamsModel::nRows ( ) const

inline

The number of rows in the model.

Definition at line 192 of file GamsModel.hpp.

References nRows_.

int GamsModel::nNnz ( ) const

inline

The number of nonzeros in the matrix of the model.

Definition at line 195 of file GamsModel.hpp.

References nNnz_.

double* GamsModel::ColLb ( )

inline

The column lower bounds.

Definition at line 199 of file GamsModel.hpp.

References ColLb_.

double* GamsModel::ColUb ( )

inline

The column upper bounds.

Definition at line 202 of file GamsModel.hpp.

References ColUb_.

bool* GamsModel::ColDisc ( )

inline

Indicates whether a variable is discrete (true) or not (false).

Definition at line 205 of file GamsModel.hpp.

References ColDisc_.

int* GamsModel::SOSIndicator ( )

inline

The special ordered sets indicator.

For each variable, SOSIndicator()[i] tells to which special ordered set from which type it belongs, if any. If SOSIndicator()[i] is

• 0, then column i does not belong to any special ordered set.
• >0, then column i belongs to the special ordered sets of type 1 with the number SOSIndicator()[i].
• <0, then column i belongs to the special ordered sets of type 2 with the number -SOSIndicator()[i].

Definition at line 213 of file GamsModel.hpp.

References SOSIndicator_.

bool* GamsModel::ColSemiContinuous ( )

inline

Indicates whether a variable is semicontinuous or semiinteger (true) or not (false).

To distinguish between semicontinious and semiinteger variables, consult the ColDisc() array. That is, a variable is semiinteger if it is semicontinuous and discrete.

Definition at line 218 of file GamsModel.hpp.

References ColSemiCon_.

double* GamsModel::ColLevel ( )

inline

Initial values and storage for the solution values of the primal variables.

Definition at line 221 of file GamsModel.hpp.

References ColLevel_.

double* GamsModel::ColMargin ( )

inline

Initial marginals and storage for the solution values of the dual variables corresponding to the column bound constraints (reduced costs).

Definition at line 224 of file GamsModel.hpp.

References ColMargin_.

int* GamsModel::ColBasis ( )

inline

Initial basis status and storage for the solution basis status of the columns.

Definition at line 227 of file GamsModel.hpp.

References ColBasis_.

double* GamsModel::ColPriority ( )

inline

Branching priorities of columns.

In GAMS, you can specify branching priorities with the .prior suffix. As lower the value, as higher is the priority.

Definition at line 232 of file GamsModel.hpp.

References ColPriority_.

double* GamsModel::ColScale ( )

inline

Scaling parameters for columns.

In GAMS, you can specify scaling parameters with the .scale suffix.

Definition at line 236 of file GamsModel.hpp.

References ColScale_.

char* GamsModel::RowSense ( )

inline

The sense of the rows.

RowSense[i] is

• 'E' if row i is an equality.
• 'L' if row i is of the form row <= bound.
• 'G' if row i is of the form row >= bound.
• 'N' if row i has no bounds. Ranges for rows are not supported by the GAMS language.

Definition at line 246 of file GamsModel.hpp.

References RowSense_.

double* GamsModel::RowRhs ( )

inline

The right-hand-side of the rows.

Definition at line 249 of file GamsModel.hpp.

References RowRhs_.

double* GamsModel::RowLevel ( )

inline

Initial values and storage for the solution levels of the rows (row activities).

Definition at line 252 of file GamsModel.hpp.

References RowLevel_.

double* GamsModel::RowMargin ( )

inline

Initial marginals and storage for the solution values of the dual variables corresponding to the rows (row prices).

Definition at line 255 of file GamsModel.hpp.

References RowMargin_.

int* GamsModel::RowBasis ( )

inline

Initial basis status and storage for the solution basis status of the rows.

Definition at line 258 of file GamsModel.hpp.

References RowBasis_.

double* GamsModel::RowScale ( )

inline

Scaling parameters for rows.

In GAMS, you can specify scaling parameters with the .scale suffix.

Definition at line 262 of file GamsModel.hpp.

References RowScale_.

double* GamsModel::ObjCoef ( )

inline

The coefficients of the objective function (dense format).

Definition at line 266 of file GamsModel.hpp.

References ObjCoef_.

double GamsModel::ObjConstant ( )

inline

A constant term in the objective function.

Definition at line 269 of file GamsModel.hpp.

References ObjRhs_.

double GamsModel::ObjSense ( ) const

inline

The sense of the objective function or optimization, respectively.

Returns

1 for minimization, -1 for maximization.

Definition at line 273 of file GamsModel.hpp.

References ObjSense_.

double GamsModel::ObjScale ( ) const

inline

Scaling parameter for objective function.

Computing from scaling parameter of objective row and objective variable. Default: 1

Definition at line 278 of file GamsModel.hpp.

References ObjScale_.

int* GamsModel::matStart ( )

inline

The column starts for the problem matrix.

Definition at line 282 of file GamsModel.hpp.

References matStart_.

int* GamsModel::matRowIdx ( )

inline

The row indices for the problem matrix.

Definition at line 285 of file GamsModel.hpp.

References matRowIdx_.

double* GamsModel::matValue ( )

inline

The values for the problem matrix.

Definition at line 288 of file GamsModel.hpp.

References matValue_.

int GamsModel::matSqueezeZeros

(

)

Removes zero entries in the problem matrix.

In some cases, it might happen that the sparse problem matrix as given by GAMS still contains a few zero elements. This method checks the matrix and shifts elements front to eleminate nonzeros.

Returns

The number of removed zeros.

ModelStatus GamsModel::getModelStatus

(

)

The current GAMS model status.

SolverStatus GamsModel::getSolverStatus

(

)

The current GAMS solver status.

void GamsModel::setStatus	(	const SolverStatus &	newSolverStatus,
		const ModelStatus &	newModelStatus
	)

Sets the GAMS solver and model status.

Parameters

newSolverStatus	The new solver status.
newModelStatus	The new model status.

void GamsModel::setIterUsed ( const int  IterUsed )

inline

Sets the number of iterations used.

Parameters

IterUsed

Number of iterations the solver used.

Definition at line 316 of file GamsModel.hpp.

References IterUsed_.

void GamsModel::setResUsed ( const double  ResUsed )

inline

Sets the number of seconds used.

Parameters

ResUsed

Number of seconds the solver used.

Definition at line 320 of file GamsModel.hpp.

References ResUsed_.

void GamsModel::setNodesUsed ( const int  NodesUsed )

inline

Sets the number of nodes used (in a branch-and-bound algorithm).

Parameters

NodesUsed

Number of nodes the solver used.

Definition at line 324 of file GamsModel.hpp.

References NodeUsed_.

void GamsModel::setObjVal ( const double  ObjVal )

inline

Sets the objective function value in the solution.

Parameters

ObjVal

Value of objective function.

Definition at line 328 of file GamsModel.hpp.

References ObjVal_.

void GamsModel::setObjBound ( const double  ObjBound )

inline

Sets an bound (estimate) on the optimal value.

Parameters

ObjBound

Value of optimal value estimate.

Definition at line 332 of file GamsModel.hpp.

References ObjBound_.

double GamsModel::getObjVal ( )

inline

Gives the stored objective function value.

Definition at line 335 of file GamsModel.hpp.

References ObjVal_.

double GamsModel::getResUsed ( )

inline

Gives the stored number of seconds used.

Definition at line 338 of file GamsModel.hpp.

References ResUsed_.

int* GamsModel::ColIndicator ( )

inline

Storage for column indicators.

See Also

VariableStatus

Definition at line 343 of file GamsModel.hpp.

References ColIndicator_.

int* GamsModel::RowIndicator ( )

inline

Storage for row indicators.

See Also

RowStatus

Definition at line 347 of file GamsModel.hpp.

References RowIndicator_.

void GamsModel::setSolution	(	const double *	ColLevel = 0,
		const double *	ColMargin = 0,
		const int *	ColBasis = 0,
		const int *	ColIndicator = 0,
		const double *	RowLevel = 0,
		const double *	RowMargin = 0,
		const int *	RowBasis = 0,
		const int *	RowIndicator = 0
	)

Sets the solution information and writes the solution file.

If the model status is Optimal or IntegerSolution, then for those arrays that are given, the corresponding array in the GamsModel is overwritten and a solution file is written.

double GamsModel::getResLim

(

)

GAMS Parameter: Time limit for model run in seconds.

int GamsModel::getIterLim

(

)

GAMS Parameter: Iteration limit for model run.

int GamsModel::getNodeLim

(

)

GAMS Parameter: Node limit for model run if using a branch-and-bound algorithm.

int GamsModel::getGamsInteger

(

int

nr

)

GAMS Parameter: Integers 1 to 5.

In a GAMS model, 5 integer values can be specified, e.g. model.integer1=value;.

Parameters

nr	Which integer you want to have, it should be between 0 and 4.

Returns

The value of integer number nr.

int GamsModel::getGamsInteger	(	int	intnr,
		int	bitnr
	)

GAMS Parameter: Integers 1 to 5, bitwise.

In a GAMS model, 5 integer values can be specified, e.g. model.integer1=value;.

Parameters

intnr	Which integer you want to have. intnr should be between 0 and 4.
bitnr	Which bit of integer intnr you want to have. bitnr should be between 0 and 15.

Returns

Bit number bitnr of integer number intnr.

double GamsModel::getOptCA

(

)

GAMS Parameter: Allowed absolute difference between incumbent solution and best bound (for MIPs).

double GamsModel::getOptCR

(

)

GAMS Parameter: Allowed relative difference between incumbent solution and best bound (for MIPs).

double GamsModel::getCheat

(

)

GAMS Parameter: A new valid solution must be at least this much better than incumbent integer solution (for MIPs).

double GamsModel::getCutOff

(

)

GAMS Parmeter: Implied upper/lower bound on objective function.

bool GamsModel::getScaleOption

(

)

GAMS Option: If set, then the solver should use the scaling parameters in ColScale() and RowScale().

bool GamsModel::getPriorityOption

(

)

GAMS Option: If set, then the solver should use the branching priorities in ColPriority().

const char* GamsModel::getOptionfile

(

)

The name of the option file.

Returns

The name of the option file, or NULL if no optionfile should be read.

void GamsModel::Allocate ( )

private

Member Data Documentation

int GamsModel::nCols_

private

Indicates whether we have column and row names.

Definition at line 414 of file GamsModel.hpp.

Referenced by nCols().

int GamsModel::nDCols_

private

Definition at line 415 of file GamsModel.hpp.

Referenced by nDCols().

int GamsModel::nSOS1_

private

Definition at line 416 of file GamsModel.hpp.

Referenced by nSOS1().

int GamsModel::nSOS2_

private

Definition at line 417 of file GamsModel.hpp.

Referenced by nSOS2().

int GamsModel::nSemiCon_

private

Definition at line 418 of file GamsModel.hpp.

Referenced by nSemiContinuous().

int GamsModel::nRows_

private

Definition at line 419 of file GamsModel.hpp.

Referenced by nRows().

int GamsModel::nNnz_

private

Definition at line 420 of file GamsModel.hpp.

Referenced by nNnz().

double GamsModel::startTime_

private

Definition at line 422 of file GamsModel.hpp.

double* GamsModel::ColLb_

private

Definition at line 424 of file GamsModel.hpp.

Referenced by ColLb().

double* GamsModel::ColUb_

private

Definition at line 425 of file GamsModel.hpp.

Referenced by ColUb().

bool* GamsModel::ColDisc_

private

Definition at line 426 of file GamsModel.hpp.

Referenced by ColDisc().

int* GamsModel::SOSIndicator_

private

Definition at line 427 of file GamsModel.hpp.

Referenced by SOSIndicator().

bool* GamsModel::ColSemiCon_

private

Definition at line 428 of file GamsModel.hpp.

Referenced by ColSemiContinuous().

double* GamsModel::ColLevel_

private

Definition at line 429 of file GamsModel.hpp.

Referenced by ColLevel().

double* GamsModel::ColMargin_

private

Definition at line 430 of file GamsModel.hpp.

Referenced by ColMargin().

int* GamsModel::ColBasis_

private

Definition at line 431 of file GamsModel.hpp.

Referenced by ColBasis().

double* GamsModel::ColPriority_

private

Definition at line 432 of file GamsModel.hpp.

Referenced by ColPriority().

double* GamsModel::ColScale_

private

Definition at line 433 of file GamsModel.hpp.

Referenced by ColScale().

int* GamsModel::ColIndicator_

private

Definition at line 434 of file GamsModel.hpp.

Referenced by ColIndicator().

char* GamsModel::RowSense_

private

Definition at line 436 of file GamsModel.hpp.

Referenced by RowSense().

double* GamsModel::RowRhs_

private

Definition at line 437 of file GamsModel.hpp.

Referenced by RowRhs().

double* GamsModel::RowScale_

private

Definition at line 438 of file GamsModel.hpp.

Referenced by RowScale().

double* GamsModel::RowLevel_

private

Definition at line 439 of file GamsModel.hpp.

Referenced by RowLevel().

double* GamsModel::RowMargin_

private

Definition at line 440 of file GamsModel.hpp.

Referenced by RowMargin().

int* GamsModel::RowBasis_

private

Definition at line 441 of file GamsModel.hpp.

Referenced by RowBasis().

int* GamsModel::RowIndicator_

private

Definition at line 442 of file GamsModel.hpp.

Referenced by RowIndicator().

double GamsModel::ObjSense_

private

Definition at line 444 of file GamsModel.hpp.

Referenced by ObjSense().

double* GamsModel::ObjCoef_

private

Definition at line 445 of file GamsModel.hpp.

Referenced by ObjCoef().

double GamsModel::ObjRhs_

private

Definition at line 446 of file GamsModel.hpp.

Referenced by ObjConstant().

double GamsModel::zCoef_

private

Definition at line 447 of file GamsModel.hpp.

double GamsModel::ObjScale_

private

Definition at line 448 of file GamsModel.hpp.

Referenced by ObjScale().

int GamsModel::isReform_

private

Definition at line 449 of file GamsModel.hpp.

Referenced by isReformulated().

int* GamsModel::matStart_

private

Definition at line 451 of file GamsModel.hpp.

Referenced by matStart().

int* GamsModel::matRowIdx_

private

Definition at line 452 of file GamsModel.hpp.

Referenced by matRowIdx().

double* GamsModel::matValue_

private

Definition at line 453 of file GamsModel.hpp.

Referenced by matValue().

double GamsModel::ObjVal_

private

Definition at line 457 of file GamsModel.hpp.

Referenced by getObjVal(), and setObjVal().

double GamsModel::ObjBound_

private

Definition at line 458 of file GamsModel.hpp.

Referenced by setObjBound().

double GamsModel::ResUsed_

private

Definition at line 459 of file GamsModel.hpp.

Referenced by getResUsed(), and setResUsed().

int GamsModel::IterUsed_

private

Definition at line 460 of file GamsModel.hpp.

Referenced by setIterUsed().

int GamsModel::DomUsed_

private

Definition at line 461 of file GamsModel.hpp.

int GamsModel::NodeUsed_

private

Definition at line 462 of file GamsModel.hpp.

Referenced by setNodesUsed().

SolverStatus GamsModel::SolverStatus_

private

Definition at line 464 of file GamsModel.hpp.

ModelStatus GamsModel::ModelStatus_

private

Definition at line 465 of file GamsModel.hpp.

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

• GamsModel.hpp