org.ojalgo.optimisation.linear

Class LinearSolver.ModelIntegration

java.lang.Object

org.ojalgo.optimisation.ExpressionsBasedModel.Integration<LinearSolver>

org.ojalgo.optimisation.linear.LinearSolver.ModelIntegration

All Implemented Interfaces:

Optimisation, Optimisation.Integration<ExpressionsBasedModel,LinearSolver>

Enclosing class:

LinearSolver

public static final class LinearSolver.ModelIntegration
extends ExpressionsBasedModel.Integration<LinearSolver>

Nested Class Summary

Nested classes/interfaces inherited from interface org.ojalgo.optimisation.Optimisation

Optimisation.Constraint, Optimisation.Integration<M extends Optimisation.Model,S extends Optimisation.Solver>, Optimisation.Model, Optimisation.Objective, Optimisation.Options, Optimisation.Result, Optimisation.Solver, Optimisation.State

Constructor Summary

Constructors

Constructor and Description
ModelIntegration()

Method Summary

Modifier and Type	Method and Description
LinearSolver	build(ConvexSolver.Builder convexBuilder, Optimisation.Options options)
LinearSolver	build(ExpressionsBasedModel model) An integration must be able to instantiate a solver that can handle (any) model instance.
protected int	getIndexInSolver(ExpressionsBasedModel model, Variable variable)
boolean	isCapable(ExpressionsBasedModel model)
protected boolean	isSolutionMapped()
Optimisation.Result	toModelState(Optimisation.Result solverState, ExpressionsBasedModel model) Convert solver state to model state.
Optimisation.Result	toSolverState(Optimisation.Result modelState, ExpressionsBasedModel model) Convert model state to solver state.

Methods inherited from class org.ojalgo.optimisation.ExpressionsBasedModel.Integration

extractSolverState

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ModelIntegration

public ModelIntegration()

Method Detail

build

public LinearSolver build(ConvexSolver.Builder convexBuilder,
                          Optimisation.Options options)

build

public LinearSolver build(ExpressionsBasedModel model)

Description copied from interface: Optimisation.Integration

An integration must be able to instantiate a solver that can handle (any) model instance.

isCapable

public boolean isCapable(ExpressionsBasedModel model)

Returns:

true if this solver (integration) can handle the input model

toModelState

public Optimisation.Result toModelState(Optimisation.Result solverState,
                                        ExpressionsBasedModel model)

Description copied from interface: Optimisation.Integration

Convert solver state to model state. Transforming the solution (set of variable values) is the main concern. Adjusting the objective function value (if needed) is best handled elsewhere, and is not required here.

Specified by:

toModelState in interface Optimisation.Integration<ExpressionsBasedModel,LinearSolver>

Overrides:

toModelState in class ExpressionsBasedModel.Integration<LinearSolver>

toSolverState

public Optimisation.Result toSolverState(Optimisation.Result modelState,
                                         ExpressionsBasedModel model)

Description copied from interface: Optimisation.Integration

Convert model state to solver state. Transforming the solution (set of variable values) is the main concern. Adjusting the objective function value (if needed) is best handled elsewhere, and is not required here.

Specified by:

toSolverState in interface Optimisation.Integration<ExpressionsBasedModel,LinearSolver>

Overrides:

toSolverState in class ExpressionsBasedModel.Integration<LinearSolver>

getIndexInSolver

protected int getIndexInSolver(ExpressionsBasedModel model,
                               Variable variable)

Overrides:

getIndexInSolver in class ExpressionsBasedModel.Integration<LinearSolver>

Returns:

The index with which one can reference parameters related to this variable in the solver.

isSolutionMapped

protected boolean isSolutionMapped()

Specified by:

isSolutionMapped in class ExpressionsBasedModel.Integration<LinearSolver>

Returns:

true if the set of variables present in the solver is not precisely the same as in the model. If fixed variables are omitted or if variables are split into a positive and negative part, then this method must return true