Uses of Class
org.ojalgo.optimisation.convex.ConvexData

Packages that use ConvexData

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

Uses of ConvexData in org.ojalgo.optimisation.convex

Fields in org.ojalgo.optimisation.convex declared as ConvexData

Modifier and Type	Field	Description
private final ConvexData<Quadruple>	IterativeRefinementSolver.myData
private final ConvexData<Quadruple>	IterativeRefinementSolver2.myData
private final ConvexData<Double>	IterativeRefinementSolverDouble.myData
private final ConvexData<Double>	BasePrimitiveSolver.myMatrices
private final ConvexData<Double>	NullSpaceASS.myOriginal
private final ConvexData<Double>	NullSpaceProjection.myOriginal
private ConvexData<Double>	NullSpaceProjection.myReduced

Methods in org.ojalgo.optimisation.convex that return ConvexData

Modifier and Type	Method	Description
static <N extends Comparable<N>> ConvexData<N>	ConvexSolver.copy(ExpressionsBasedModel model, PhysicalStore.Factory<N,?> factory)
protected <N extends Comparable<N>> ConvexData<N>	ConvexSolver.Builder.getConvexData(PhysicalStore.Factory<N,?> factory)
private static ConvexData<Double>	IterativeRefinementSolver.getDoubleConvexData(ConvexData<Double> data, MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Ae, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Ai, MatrixStore<Quadruple> Bi)
ConvexData<Double>	BasePrimitiveSolver.getEntityMap()
(package private) ConvexData<Double>	NullSpaceProjection.getReduced()	Constructs and returns the reduced convex optimisation problem without equality constraints.
ConvexData<N>	ConvexData.ConvexDataFactory.newInstance(int nbVars, int nbEqus, int nbIneq)
(package private) static ConvexData<Quadruple>	IterativeRefinementSolver.newInstance(int nbVars, int nbEqus, int nbIneq)
(package private) static ConvexData<Double>	IterativeRefinementSolverDouble.newInstance(int nbVars, int nbEqus, int nbIneq)

Methods in org.ojalgo.optimisation.convex with parameters of type ConvexData

Modifier and Type	Method	Description
private static ConvexData<Double>	IterativeRefinementSolver.getDoubleConvexData(ConvexData<Double> data, MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Ae, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Ai, MatrixStore<Quadruple> Bi)
(package private) static BasePrimitiveSolver	BasePrimitiveSolver.newSolver(ConvexData<Double> data, Optimisation.Options options)
(package private) static NullSpaceProjection	NullSpaceProjection.reduce(ConvexData<Double> fullModel)	Reduces the given convex optimisation problem by eliminating equality constraints using null-space projection.
private static void	IterativeRefinementSolver.updateConvexDoubleData(ConvexData<Double> data, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Bi)
private static void	IterativeRefinementSolver.updateConvexDoubleData(ConvexData<Double> data, MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Bi)

Constructors in org.ojalgo.optimisation.convex with parameters of type ConvexData

Modifier	Constructor	Description
(package private)	ActiveSetSolver(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)
(package private)	BasePrimitiveSolver(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)
protected	ConstrainedSolver(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)
(package private)	DirectASS(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)
(package private)	IterativeASS(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)
(package private)	IterativeRefinementSolver(Optimisation.Options optimisationOptions, ConvexData<Quadruple> convexData)
(package private)	IterativeRefinementSolver2(Optimisation.Options optimisationOptions, ConvexData<Quadruple> convexData)
(package private)	IterativeRefinementSolverDouble(Optimisation.Options optimisationOptions, ConvexData<Double> convexData)
(package private)	NullSpaceASS(Optimisation.Options options, ConvexData<Double> data)
(package private)	NullSpaceProjection(ConvexData<Double> original, QR<Double> decomposition, MatrixStore<Double> Z, MatrixStore<Double> x0)
(package private)	QPESolver(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)
(package private)	UnconstrainedSolver(ConvexData<Double> convexData, Optimisation.Options optimisationOptions)

Uses of ConvexData in org.ojalgo.optimisation.linear

Methods in org.ojalgo.optimisation.linear with parameters of type ConvexData

Modifier and Type	Method	Description
(package private) static Optimisation.Result	SimplexSolver.doSolveConvexAsDual(ConvexData<Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static Optimisation.Result	SimplexTableauSolver.doSolveConvexAsDual(ConvexData<Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static Optimisation.Result	SimplexSolver.doSolveConvexAsPrimal(ConvexData<Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static Optimisation.Result	SimplexTableauSolver.doSolveConvexAsPrimal(ConvexData<Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static int	SimplexSolver.sizeOfDual(ConvexData<?> convex)
(package private) static int	SimplexTableauSolver.sizeOfDual(ConvexData<?> convex)
(package private) static int	SimplexSolver.sizeOfPrimal(ConvexData<?> convex)
(package private) static int	SimplexTableauSolver.sizeOfPrimal(ConvexData<?> convex)
static Optimisation.Result	LinearSolver.solve(ConvexData convex, Optimisation.Options options, boolean zeroC)