Module ojalgo

Package org.ojalgo.optimisation.convex

Class ConvexSolver.Builder

java.lang.Object

org.ojalgo.optimisation.GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

org.ojalgo.optimisation.convex.ConvexSolver.Builder

All Implemented Interfaces:

Optimisation, Optimisation.ProblemStructure

Enclosing class:

ConvexSolver

public static final class ConvexSolver.Builder
extends GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

Nested Class Summary

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

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

Field Summary

Fields inherited from interface org.ojalgo.optimisation.Optimisation.ProblemStructure

DEBUG

Constructor Summary

Constructors

Constructor	Description
Builder()
Builder(int nbVariables)
Builder(MatrixStore<java.lang.Double>[] matrices)

Method Summary

Modifier and Type	Method	Description
protected void	append(java.lang.StringBuilder builder)
protected ConvexSolver	doBuild(Optimisation.Options options)
ConvexSolver.Builder	equalities(Access2D<?> mtrxAE, Access1D<?> mtrxBE)
ConvexSolver.Builder	equality(double rhs, double... factors)
protected PhysicalStore<java.lang.Double>	getC()	Linear objective: [C]
protected <N extends java.lang.Comparable<N>> ConvexData<N>	getConvexData(PhysicalStore.Factory<N,?> factory)
ConvexObjectiveFunction<java.lang.Double>	getObjective()
protected PhysicalStore<java.lang.Double>	getQ()	Quadratic objective: [Q]
ConvexSolver.Builder	inequalities(Access2D<?> mtrxAI, Access1D<?> mtrxBI)
ConvexSolver.Builder	inequality(double rhs, double... factors)
ConvexSolver.Builder	linear(double... factors)	Set the linear part of the objective function
ConvexSolver.Builder	linear(Access1D<?> factors)	Set the linear part of the objective function
ConvexSolver.Builder	objective(int index, double value)	Set one element of the linear part of the objective function
ConvexSolver.Builder	objective(int row, int col, double value)	Set one element of the quadratic part of the objective function
ConvexSolver.Builder	objective(MatrixStore<?> mtrxQ, MatrixStore<?> mtrxC)
ConvexSolver.Builder	quadratic(Access2D<?> factors)	Set the quadratic part of the objective function
LinearSolver.Builder	toFeasibilityChecker()	Disregard the objective function (set it to zero) and form the dual LP.
LinearSolver.Builder	toLinearApproximation()	Approximate at origin (0.0 vector)
LinearSolver.Builder	toLinearApproximation(Access1D<java.lang.Double> point)	Linearise the objective function (at the specified point) and duplicate all variables to handle the (potential) positive and negative parts separately.

Methods inherited from class org.ojalgo.optimisation.GenericSolver.Builder

append, build, build, countAdditionalConstraints, countEqualityConstraints, countInequalityConstraints, countVariables, doCountVariables, getAE, getAE, getAE, getAI, getAI, getAI, getBE, getBE, getBI, getBI, getFactory, getLowerBounds, getObjective, getRowsAE, getRowsAI, getUpperBounds, reset, setNumberOfVariables, setObjective, solve, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.ojalgo.optimisation.Optimisation.ProblemStructure

countConstraints

Constructor Detail

Builder

Builder()

Builder

Builder(int nbVariables)

Builder

Builder(MatrixStore<java.lang.Double>[] matrices)

Method Detail

equalities

public ConvexSolver.Builder equalities(Access2D<?> mtrxAE,
                                       Access1D<?> mtrxBE)

Overrides:

equalities in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

equality

public ConvexSolver.Builder equality(double rhs,
                                     double... factors)

Overrides:

equality in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

getObjective

public ConvexObjectiveFunction<java.lang.Double> getObjective()

Overrides:

getObjective in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

inequalities

public ConvexSolver.Builder inequalities(Access2D<?> mtrxAI,
                                         Access1D<?> mtrxBI)

Overrides:

inequalities in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

inequality

public ConvexSolver.Builder inequality(double rhs,
                                       double... factors)

Overrides:

inequality in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

linear

public ConvexSolver.Builder linear(Access1D<?> factors)

Set the linear part of the objective function

linear

public ConvexSolver.Builder linear(double... factors)

Set the linear part of the objective function

objective

public ConvexSolver.Builder objective(int index,
                                      double value)

Set one element of the linear part of the objective function

objective

public ConvexSolver.Builder objective(int row,
                                      int col,
                                      double value)

Set one element of the quadratic part of the objective function

objective

public ConvexSolver.Builder objective(MatrixStore<?> mtrxQ,
                                      MatrixStore<?> mtrxC)

quadratic

public ConvexSolver.Builder quadratic(Access2D<?> factors)

Set the quadratic part of the objective function

toFeasibilityChecker

public LinearSolver.Builder toFeasibilityChecker()

Disregard the objective function (set it to zero) and form the dual LP.

toLinearApproximation

public LinearSolver.Builder toLinearApproximation()

Approximate at origin (0.0 vector)

See Also:

toLinearApproximation(Access1D)

toLinearApproximation

public LinearSolver.Builder toLinearApproximation(Access1D<java.lang.Double> point)

Linearise the objective function (at the specified point) and duplicate all variables to handle the (potential) positive and negative parts separately.

append

protected void append(java.lang.StringBuilder builder)

Overrides:

append in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

doBuild

protected ConvexSolver doBuild(Optimisation.Options options)

Specified by:

doBuild in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

getC

protected PhysicalStore<java.lang.Double> getC()

Linear objective: [C]

Overrides:

getC in class GenericSolver.Builder<ConvexSolver.Builder,ConvexSolver>

getConvexData

protected <N extends java.lang.Comparable<N>> ConvexData<N> getConvexData(PhysicalStore.Factory<N,?> factory)

getQ

protected PhysicalStore<java.lang.Double> getQ()

Quadratic objective: [Q]