org.ojalgo.optimisation.convex

Class ConvexSolver.ModelIntegration

java.lang.Object

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

org.ojalgo.optimisation.convex.ConvexSolver.ModelIntegration

All Implemented Interfaces:

Optimisation, Optimisation.Integration<ExpressionsBasedModel,ConvexSolver>

Enclosing class:

ConvexSolver

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

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
ConvexSolver	build(ExpressionsBasedModel model) An integration must be able to instantiate a solver that can handle (any) model instance.
boolean	isCapable(ExpressionsBasedModel model)
protected boolean	isSolutionMapped()

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

extractSolverState, toModelState, toSolverState

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 ConvexSolver 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

isSolutionMapped

protected boolean isSolutionMapped()

Specified by:

isSolutionMapped in class ExpressionsBasedModel.Integration<ConvexSolver>

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