org.ojalgo.optimisation.linear
Class LinearModel

java.lang.Object
  org.ojalgo.optimisation.VariablesBasedModel<LinearModel>
      org.ojalgo.optimisation.linear.LinearModel

All Implemented Interfaces:

OptimisationModel

Direct Known Subclasses:

KnapsackModel

public class LinearModel
extends VariablesBasedModel<LinearModel>

• No quadratic expressions whatsoever.
• Variables cannot have lower limits smaller than 0:
  • Unset lower limit are assumed to be 0.
  • Setting the lower limit to something smaller than 0 will cause an exception.

This class will be made final when KnapsackModel is removed.

Author:

apete

Field Summary

Fields inherited from class org.ojalgo.optimisation.VariablesBasedModel

DEBUG

Constructor Summary

LinearModel(Set<? extends Variable> someVariables)

LinearModel(Variable[] someVariables)

Method Summary

LinearModel	copy()
OptimisationSolver	getDefaultSolver() No need to implement an OptimisationModel if there is not at least one matching OptimisationSolver.
boolean	isMaximisation()
boolean	isMinimisation()
static LinearModel	makeInstance(MathProgSysModel aModel)
void	setMaximisation(boolean aFlag)
void	setMinimisation(boolean aFlag)
boolean	validateComposition() OptimisationModel is meant to be implemented in parallel with OptimisationSolver.

Methods inherited from class org.ojalgo.optimisation.VariablesBasedModel

addConstraint, addConstraint, addCorrelationExpression, addEmptyLinearExpression, addEmptyQuadraticExpression, addGeneralExpression, addOffsetExpression, addSimpleWeightExpression, addWeightExpression, addWeightExpression, countExpressions, countVariables, getComplexity, getDim, getExpression, getExpression, getExpressions, getIntegers, getObjectiveExpression, getValue, getVariable, getVariables, getVariableValues, indexOfVariable, isAnyExpressionQuadratic, isAnyVariableInteger, maximise, minimise, relax, resetObjectiveExpression, selectEqualityConstraintExpressions, selectEqualityConstraintVariables, selectLowerConstraintExpressions, selectLowerConstraintVariables, selectNegativeEqualityConstraintExpressions, selectNegativeLowerConstraintExpressions, selectNegativeUpperConstraintExpressions, selectNonZeroLowerConstraintVariables, selectPositiveEqualityConstraintExpressions, selectPositiveLowerConstraintExpressions, selectPositiveUpperConstraintExpressions, selectUpperConstraintExpressions, selectUpperConstraintVariables, setLowerLimitOnVariable, setUpperLimitOnVariable, toString, validateSolution, validateSolution

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

LinearModel

public LinearModel(Set<? extends Variable> someVariables)

LinearModel

public LinearModel(Variable[] someVariables)

Method Detail

makeInstance

public static LinearModel makeInstance(MathProgSysModel aModel)

copy

public final LinearModel copy()

Specified by:

copy in class VariablesBasedModel<LinearModel>

getDefaultSolver

public OptimisationSolver getDefaultSolver()

Description copied from interface: OptimisationModel

No need to implement an OptimisationModel if there is not at least one matching OptimisationSolver.

Specified by:

getDefaultSolver in interface OptimisationModel

Specified by:

getDefaultSolver in class VariablesBasedModel<LinearModel>

validateComposition

public boolean validateComposition()
                            throws ModelValidationException

Description copied from interface: OptimisationModel

OptimisationModel is meant to be implemented in parallel with OptimisationSolver. This method indicates if the model is built in a way the solver can handle or not.

Specified by:

validateComposition in interface OptimisationModel

Overrides:

validateComposition in class VariablesBasedModel<LinearModel>

Throws:

ModelValidationException

isMaximisation

public final boolean isMaximisation()

isMinimisation

public final boolean isMinimisation()

setMaximisation

public final void setMaximisation(boolean aFlag)

setMinimisation

public final void setMinimisation(boolean aFlag)