operations_research::glop::ScalingPreprocessor Class Reference

#include <preprocessor.h>

Inheritance diagram for operations_research::glop::ScalingPreprocessor:

Public Member Functions
	ScalingPreprocessor (const GlopParameters *parameters)
	ScalingPreprocessor (const ScalingPreprocessor &)=delete
ScalingPreprocessor &	operator= (const ScalingPreprocessor &)=delete
	~ScalingPreprocessor () final=default
bool	Run (LinearProgram *lp) final
void	RecoverSolution (ProblemSolution *solution) const final
void	UseInMipContext () final
Public Member Functions inherited from operations_research::glop::Preprocessor
	Preprocessor (const GlopParameters *parameters)
	Preprocessor (const Preprocessor &)=delete
Preprocessor &	operator= (const Preprocessor &)=delete
virtual	~Preprocessor ()
ProblemStatus	status () const
void	SetTimeLimit (TimeLimit *time_limit)

Additional Inherited Members
Protected Member Functions inherited from operations_research::glop::Preprocessor
bool	IsSmallerWithinFeasibilityTolerance (Fractional a, Fractional b) const
bool	IsSmallerWithinPreprocessorZeroTolerance (Fractional a, Fractional b) const
Protected Attributes inherited from operations_research::glop::Preprocessor
ProblemStatus	status_
const GlopParameters &	parameters_
bool	in_mip_context_
std::unique_ptr< TimeLimit >	infinite_time_limit_
TimeLimit *	time_limit_

Detailed Description

ScalingPreprocessor Scales the SparseMatrix of the linear program using a SparseMatrixScaler. This is only applied if the parameter use_scaling is true.

Definition at line 1035 of file preprocessor.h.

Constructor & Destructor Documentation

ScalingPreprocessor() [1/2]

operations_research::glop::ScalingPreprocessor::ScalingPreprocessor ( const GlopParameters * parameters )

inlineexplicit

Definition at line 1037 of file preprocessor.h.

ScalingPreprocessor() [2/2]

operations_research::glop::ScalingPreprocessor::ScalingPreprocessor ( const ScalingPreprocessor & )

delete

~ScalingPreprocessor()

operations_research::glop::ScalingPreprocessor::~ScalingPreprocessor ( )

finaldefault

Member Function Documentation

operator=()

ScalingPreprocessor & operations_research::glop::ScalingPreprocessor::operator= ( const ScalingPreprocessor & )

delete

RecoverSolution()

void operations_research::glop::ScalingPreprocessor::RecoverSolution ( ProblemSolution * solution ) const

finalvirtual

Stores the optimal solution of the linear program that was passed to Run(). The given solution needs to be set to the optimal solution of the linear program "modified" by Run().

Make sure the variable are at they exact bounds according to their status. This just remove a really low error (about 1e-15) but allows to keep the variables at their exact bounds.

Implements operations_research::glop::Preprocessor.

Definition at line 3831 of file preprocessor.cc.

Run()

bool operations_research::glop::ScalingPreprocessor::Run ( LinearProgram * lp )

finalvirtual

ScalingPreprocessor

Save the linear program bounds before scaling them.

See the doc of these functions for more details. It is important to call Scale() before the other two.

Implements operations_research::glop::Preprocessor.

Definition at line 3808 of file preprocessor.cc.

UseInMipContext()

void operations_research::glop::ScalingPreprocessor::UseInMipContext ( )

inlinefinalvirtual

Some preprocessors only need minimal changes when used with integer variables in a MIP context. Setting this to true allows to consider integer variables as integer in these preprocessors.

Not all preprocessors handle integer variables correctly, calling this function on them will cause a LOG(FATAL).

Reimplemented from operations_research::glop::Preprocessor.

Definition at line 1044 of file preprocessor.h.

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

• ortools/glop/preprocessor.h
• ortools/glop/preprocessor.cc