org.ojalgo.optimisation

Interface Optimisation.Integration<M extends Optimisation.Model,S extends Optimisation.Solver>

All Superinterfaces:

Optimisation

All Known Implementing Classes:

ConvexSolver.ModelIntegration, ExpressionsBasedModel.Integration, IntegerSolver.ModelIntegration, LinearSolver.ModelIntegration

Enclosing interface:

Optimisation

public static interface Optimisation.Integration<M extends Optimisation.Model,S extends Optimisation.Solver>
extends Optimisation

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

Method Summary

Modifier and Type	Method and Description
S	build(M model) An integration must be able to instantiate a solver that can handle (any) model instance.
Optimisation.Result	extractSolverState(M model) Extract state from the model and convert it to solver state.
boolean	isCapable(M model)
Optimisation.Result	toModelState(Optimisation.Result solverState, M model) Convert solver state to model state.
Optimisation.Result	toSolverState(Optimisation.Result modelState, M model) Convert model state to solver state.

Method Detail

build

S build(M model)

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

extractSolverState

Optimisation.Result extractSolverState(M model)

Extract state from the model and convert it to solver state.

isCapable

boolean isCapable(M model)

Returns:

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

toModelState

Optimisation.Result toModelState(Optimisation.Result solverState,
                                 M model)

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.

toSolverState

Optimisation.Result toSolverState(Optimisation.Result modelState,
                                  M model)

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.