Uses of Interface
org.ojalgo.optimisation.Optimisation

Packages that use Optimisation

Package	Description
org.ojalgo.optimisation
org.ojalgo.optimisation.convex
org.ojalgo.optimisation.integer
org.ojalgo.optimisation.linear
org.ojalgo.optimisation.service

Uses of Optimisation in org.ojalgo.optimisation

Subinterfaces of Optimisation in org.ojalgo.optimisation

Modifier and Type	Interface	Description
static interface	ExpressionsBasedModel.EntityMap	Connects solver constraints and variables back to model entities.
static interface	Optimisation.Constraint	Constraint
static interface	Optimisation.Integration<M extends Optimisation.Model, S extends Optimisation.Solver>	An Optimisation.Model implementation should not depend on any specific Optimisation.Solver, and Optimisation.Solver implementations should be usable independently of any Optimisation.Model.
static interface	Optimisation.Model
static interface	Optimisation.Objective	Objective
static interface	Optimisation.ProblemStructure	Basic description of the size/structure of an optimisation problem.
static interface	Optimisation.Solver	An Optimisation.Solver instance implements a specific optimisation algorithm.
interface	UpdatableSolver

Classes in org.ojalgo.optimisation that implement Optimisation

Modifier and Type	Class	Description
(package private) final class	ConfiguredIntegration<S extends Optimisation.Solver>
final class	Expression	Expression represents a mathematical expression in the optimization model that can serve as either a constraint or a component of the objective function.
final class	ExpressionsBasedModel	Lets you construct optimisation problems by combining (mathematical) expressions in terms of variables.
(package private) static final class	ExpressionsBasedModel.DefaultIntermediate
static final class	ExpressionsBasedModel.Description	Counts of different kinds of model entities.
static class	ExpressionsBasedModel.Integration<S extends Optimisation.Solver>	Optimisation.Solver:s that should be usabale from ExpressionsBasedModel needs to implement a subclass of this.
(package private) static final class	ExpressionsBasedModel.IntegrationWrapper
class	GenericSolver
static class	GenericSolver.Builder<B extends GenericSolver.Builder<B,S>, S extends GenericSolver>
class	IntermediateSolver	A Optimisation.Solver implementation that wraps an ExpressionsBasedModel.
class	ModelEntity<ME extends ModelEntity<ME>>	ModelEntity is the abstract base class for optimization model components such as variables and expressions in ojAlgo's optimization framework.
static enum	Optimisation.ConstraintType
static final class	Optimisation.Options
static final class	Optimisation.Result
static enum	Optimisation.Sense
static enum	Optimisation.State
final class	Variable	Variable represents a decision variable in an optimization model.

Uses of Optimisation in org.ojalgo.optimisation.convex

Classes in org.ojalgo.optimisation.convex that implement Optimisation

Modifier and Type	Class	Description
(package private) class	ActiveSetSolver
(package private) class	BasePrimitiveSolver
(package private) class	ConstrainedSolver
final class	ConvexData<N extends Comparable<N>>
class	ConvexSolver	ConvexSolver solves optimisation problems of the form:
static final class	ConvexSolver.Builder
static final class	ConvexSolver.ModelIntegration
(package private) final class	DirectASS	Solves optimisation problems of the form:
(package private) final class	IterativeASS	Solves optimisation problems of the form:
(package private) final class	IterativeRefinementSolver	Algorithm from: Solving quadratic programs to high precision using scaled iterative refinement Mathematical Programming Computation (2019) 11:421–455 https://doi.org/10.1007/s12532-019-00154-6
(package private) final class	IterativeRefinementSolver2	Algorithm from: Solving quadratic programs to high precision using scaled iterative refinement Mathematical Programming Computation (2019) 11:421–455 https://doi.org/10.1007/s12532-019-00154-6
(package private) final class	IterativeRefinementSolverDouble	Algorithm from: Solving quadratic programs to high precision using scaled iterative refinement Mathematical Programming Computation (2019) 11:421–455 https://doi.org/10.1007/s12532-019-00154-6
(package private) class	NullSpaceASS	Proof-of-concept solver that eliminates equality constraints, and reduces the number of variables, via a null-space projection and delegates the reduced inequality-only QP to an existing active-set solver.
(package private) final class	QPESolver	Solves optimisation problems of the form:
(package private) final class	UnconstrainedSolver	Solves optimisation problems of the form:

Uses of Optimisation in org.ojalgo.optimisation.integer

Classes in org.ojalgo.optimisation.integer that implement Optimisation

Modifier and Type	Class	Description
final class	GomorySolver	An alternative MIP solver using Gomory Mixed Integer (GMI) cuts – purely iterative with no branching.
static final class	GomorySolver.ModelIntegration
final class	IntegerSolver
static final class	IntegerSolver.ModelIntegration
final class	NodeSolver

Uses of Optimisation in org.ojalgo.optimisation.linear

Classes in org.ojalgo.optimisation.linear that implement Optimisation

Modifier and Type	Class	Description
(package private) final class	DualSimplexSolver	Requires all variables to have both lower and upper bounds.
class	LinearSolver
static final class	LinearSolver.Builder	Compared to invalid reference LinearSolver.StandardBuilder this builder: 1) Accepts inequality constraints 2) Has relaxed the requiremnt on the RHS to be non-negative (both equalities and inequalities)
static final class	LinearSolver.ModelIntegration
(package private) static final class	LinearSolver.NewIntegration	An integration to a new/alternative/experimental LP-solver.
(package private) static final class	LinearSolver.OldIntegration
(package private) final class	LinearStructure	LP (simplex tableau) meta data.
(package private) final class	PhasedSimplexSolver	First runs the dual algorithm (with a possibly modified objective function) to establish feasibility, and then the primal to reach optimality.
(package private) final class	PrimalSimplexSolver	Requires the initial basis to be feasible (doesn't do a phase-1).
(package private) class	SimplexSolver	Meant to replace SimplexTableauSolver.
(package private) final class	SimplexTableauSolver	Classic simplex tableau solver: Primal algorithm 2-phase All variables assumed >=0, and RHS required to be >=0 Variable bounds other than >=0 handled like constraints

Uses of Optimisation in org.ojalgo.optimisation.service

Classes in org.ojalgo.optimisation.service that implement Optimisation

Modifier and Type	Class	Description
final class	ServiceIntegration
(package private) final class	ServiceSolver