Public Member Functions
	Tut_ModelData ()

void	buildModel ()
	adds the variables and constraints for the problem

int	FDEval (const double x[], double g, double jac[], int rowno, const int jacnum[], int mode, int ignerr, int errcnt, int numvar, int numjac, int thread)
	defines the nonlinearities of the model by returning numerical values.

Public Member Functions inherited from ConoptModelData
	ConoptModelData ()

virtual	~ConoptModelData ()

virtual int	readMatrix (double lower[], double curr[], double upper[], int vsta[], int type[], double rhs[], int esta[], int colsta[], int rowno[], double value[], int nlflag[], int numvar, int numcon, int numnz)
	loads the structure of the model into CONOPT.

void	setProblemDimension (unsigned int numvar, unsigned int numcons, unsigned int numnz, unsigned int numnlnz)
	sets the problem dimension. This is called if the user wants to implement a custom readMatrix() method.

int	addConstraint (ConoptConstraintType constype, double rhs, int slackstatus=-1)
	adds a constraint to the problem. The non-zero coefficients are added later

int	addConstraint (ConoptConstraintType constype, double rhs, const std::vector< int > &varindex, const std::vector< double > &value, const std::vector< int > &nlflag, int slackstatus=-1)
	adds a constraint to the problem. The matrix non-zeros are added based on the supplied variables

int	addVariable (double lower, double upper, double curr=0, int varstatus=-1)
	adds a variable to the model. The non-zero coefficients are added later.

int	addVariable (double lower, double upper, const std::vector< int > &consindex, const std::vector< double > &value, const std::vector< int > &nlflag, double curr=0, int varstatus=-1)
	adds a variable to the problem. The matrix non-zeros are added based on the supplied constraints.

void	setObjectiveElement (ConoptObjectiveElement elem, int elemindex)
	sets the index for the objective variable or constraint

void	setOptimizationSense (ConoptSense sense)
	sets the optimisation direction.

void	setInitialStatusOption (int inistat)
	the setting to indicate how the initial status of the variables and slack variables will be handled.

int	numVar () const
	returns the number of variables in the model

int	numCons () const
	returns the number of constraints in the model

int	numHessianNonzeros () const
	returns the number of non-zeros in the Hessian

const ConoptVariable &	getVariable (int index) const
	returns a reference to the variable object

const ConoptConstraint &	getConstraint (int index) const
	returns a reference to the constraint object

void	setSDEvaluationType (ConoptSDEvaluationType sdevaltype)
	informs CONOPT of the method for evaluating the second derivative

void	setSDLagrangianStructure (const std::vector< int > &rownum, const std::vector< int > &colnum)
	sets the structure of the second derivatives of the Lagrangian

const std::vector< int > &	getSDLagrangianRowNumbers () const
	returns the row numbers in the second derivative of the lagrangian structure

const std::vector< int > &	getSDLagrangianColumnNumbers () const
	returns the column numbers in the second derivative of the lagrangian structure

virtual int	FDEvalIni (const double x[], const int rowlist[], int mode, int listsize, int numthread, int ignerr, int *errcnt, int numvar)
	an optional function that can be used to improve the efficiency of the function evaulations.

virtual int	FDEvalEnd (int ignerr, int *errcnt)
	an optional function that will be called at the end of the function evaluation stage.

virtual int	FDInterval (const double xmin[], const double xmax[], double gmin, double gmax, double jmin[], double jamx[], int rowno, const int jacnum[], int mode, double pinf, int numvar, int numjac)
	defines intervals for the nonlinearities of the model, again by returning numerical values.

virtual int	SDLagrVal (const double x[], const double u[], const int hsrw[], const int hscl[], double hsvl[], int *nodrv, int numvar, int numcon, int nhess)
	Computes and returns the numerical values of the Hessian.

virtual int	SDDirLagr (const double x[], const double dx[], const double u[], double d2g[], int newpt, int *nodrv, int numvar, int numcon)
	computes the directional second derivative for the Lagrangian

virtual int	SDDir (const double x[], const double dx[], double d2g[], int rowno, const int jacnum[], int *nodrv, int numvar, int numjac, int thread)
	computes the directional second derivative for a single constraint

virtual int	SDDirIni (const double x[], const double dx[], const int rowlist[], int listsize, int numthread, int newpt, int *nodrv, int numvar)
	called by CONOPT before a sequence of `2DDir` calls each time either the point or the direction changes.

virtual int	SDDirEnd (int *nodrv)
	called by CONOPT after a sequence of `2DDir` calls each time either the point or the direction changes.

Detailed Description

Definition at line 15 of file tutorial.cpp.

Constructor & Destructor Documentation

◆ Tut_ModelData()

Tut_ModelData::Tut_ModelData ( )

inline

Definition at line 18 of file tutorial.cpp.

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

/builds/devel/conopt/conopt/examples/Cpp_1thread/tutorial.cpp

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ Tut_ModelData()