OsiBabSolver Class Reference

This class allows for the use of more exotic solvers e.g. More...

#include <OsiAuxInfo.hpp>

Inheritance diagram for OsiBabSolver:

Collaboration diagram for OsiBabSolver:

Public Member Functions
	OsiBabSolver (int solverType=0)
	OsiBabSolver (const OsiBabSolver &rhs)
virtual	~OsiBabSolver ()
virtual OsiAuxInfo *	clone () const
	Clone.
OsiBabSolver &	operator= (const OsiBabSolver &rhs)
	Assignment operator.
void	setSolver (const OsiSolverInterface *solver)
	Update solver.
void	setSolver (const OsiSolverInterface &solver)
	Update solver.
int	solution (double &objectiveValue, double *newSolution, int numberColumns)
	returns 0 if no heuristic solution, 1 if valid solution with better objective value than one passed in Sets solution values if good, sets objective value numberColumns is size of newSolution
void	setSolution (const double *solution, int numberColumns, double objectiveValue)
	Set solution and objective value.
bool	hasSolution (double &solutionValue, double *solution)
	returns true if the object stores a solution, false otherwise.
void	setSolverType (int value)
	Sets solver type 0 - normal LP solver 1 - DW - may also return heuristic solutions 2 - NLP solver or similar - can't compute objective value just from solution check solver to see if feasible and what objective value is.
int	solverType () const
	gets solver type 0 - normal LP solver 1 - DW - may also return heuristic solutions 2 - NLP solver or similar - can't compute objective value just from solution check this (rather than solver) to see if feasible and what objective value is
bool	solutionAddsCuts () const
	Return true if getting solution may add cuts so hot start etc will be obsolete.
bool	alwaysTryCutsAtRootNode () const
	Return true if we should try cuts at root even if looks satisfied.
bool	solverAccurate () const
	Returns true if can use solver objective or feasible values, otherwise use mipBound etc.
bool	reducedCostsAccurate () const
	Returns true if can use reduced costs for fixing.
double	mipBound () const
	Get objective (well mip bound)
bool	mipFeasible () const
	Returns true if node feasible.
void	setMipBound (double value)
	Set mip bound (only used for some solvers)
double	bestObjectiveValue () const
	Get objective value of saved solution.
bool	tryCuts () const
	Says whether we want to try cuts at all.
bool	warmStart () const
	Says whether we have a warm start (so can do strong branching)
int	extraCharacteristics () const
	Get bit mask for odd actions of solvers 1 - solution or bound arrays may move in mysterious ways e.g.
void	setExtraCharacteristics (int value)
	Set bit mask for odd actions of solvers 1 - solution or bound arrays may move in mysterious ways e.g.
const double *	beforeLower () const
	Pointer to lower bounds before branch (only if extraCharacteristics set)
void	setBeforeLower (const double *array)
	Set pointer to lower bounds before branch (only if extraCharacteristics set)
const double *	beforeUpper () const
	Pointer to upper bounds before branch (only if extraCharacteristics set)
void	setBeforeUpper (const double *array)
	Set pointer to upper bounds before branch (only if extraCharacteristics set)
void	setExtraPointer (void *extraInfo)
	Set pointer to extra stuff.
void *	getExtraPointer () const
	get pointer to extra info
Public Member Functions inherited from OsiAuxInfo
	OsiAuxInfo (void *appData=NULL)
	OsiAuxInfo (const OsiAuxInfo &rhs)
virtual	~OsiAuxInfo ()
OsiAuxInfo &	operator= (const OsiAuxInfo &rhs)
	Assignment operator.
void *	getApplicationData () const
	Get application data.

Protected Attributes
double	bestObjectiveValue_
	Objective value of best solution (if there is one) (minimization)
double	mipBound_
	Current lower bound on solution ( if > 1.0e50 infeasible)
const OsiSolverInterface *	solver_
	Solver to use for getting/setting solutions etc.
double *	bestSolution_
	Best integer feasible solution.
const double *	beforeLower_
	Pointer to lower bounds before branch (only if extraCharacteristics set)
const double *	beforeUpper_
	Pointer to upper bounds before branch (only if extraCharacteristics set)
void *	extraInfo_
	Pointer to extra info.
int	solverType_
	Solver type 0 - normal LP solver 1 - DW - may also return heuristic solutions 2 - NLP solver or similar - can't compute objective value just from solution check this (rather than solver) to see if feasible and what objective value is.
int	sizeSolution_
	Size of solution.
int	extraCharacteristics_
	Bit mask for odd actions of solvers 1 - solution or bound arrays may move in mysterious ways e.g.
Protected Attributes inherited from OsiAuxInfo
void *	appData_
	Pointer to user-defined data structure.

Detailed Description

This class allows for the use of more exotic solvers e.g.

Non-Linear or Volume.

You can derive from this although at present I can't see the need.

Definition at line 52 of file OsiAuxInfo.hpp.

Constructor & Destructor Documentation

OsiBabSolver() [1/2]

OsiBabSolver::OsiBabSolver

(

int

solverType = 0

)

OsiBabSolver() [2/2]

OsiBabSolver::OsiBabSolver

(

const OsiBabSolver &

rhs

)

~OsiBabSolver()

virtual OsiBabSolver::~OsiBabSolver ( )

virtual

Member Function Documentation

clone()

virtual OsiAuxInfo * OsiBabSolver::clone ( ) const

virtual

Clone.

Reimplemented from OsiAuxInfo.

operator=()

OsiBabSolver & OsiBabSolver::operator=

(

const OsiBabSolver &

rhs

)

Assignment operator.

setSolver() [1/2]

void OsiBabSolver::setSolver ( const OsiSolverInterface *  solver )

inline

Update solver.

Definition at line 68 of file OsiAuxInfo.hpp.

setSolver() [2/2]

void OsiBabSolver::setSolver ( const OsiSolverInterface &  solver )

inline

Update solver.

Definition at line 73 of file OsiAuxInfo.hpp.

solution()

int OsiBabSolver::solution	(	double &	objectiveValue,
		double *	newSolution,
		int	numberColumns
	)

returns 0 if no heuristic solution, 1 if valid solution with better objective value than one passed in Sets solution values if good, sets objective value numberColumns is size of newSolution

setSolution()

void OsiBabSolver::setSolution	(	const double *	solution,
		int	numberColumns,
		double	objectiveValue
	)

Set solution and objective value.

Number of columns and optimization direction taken from current solver. Size of solution is numberColumns (may be padded or truncated in function)

hasSolution()

bool OsiBabSolver::hasSolution	(	double &	solutionValue,
		double *	solution
	)

returns true if the object stores a solution, false otherwise.

If there is a solution then solutionValue and solution will be filled out as well. In that case the user needs to allocate solution to be a big enough array.

setSolverType()

void OsiBabSolver::setSolverType ( int  value )

inline

Sets solver type 0 - normal LP solver 1 - DW - may also return heuristic solutions 2 - NLP solver or similar - can't compute objective value just from solution check solver to see if feasible and what objective value is.

• may also return heuristic solution 3 - NLP solver or similar - c