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 ConvexData<Quadruple>	IterativeRefinementSolver.myData
private ConvexData<Quadruple>	IterativeRefinementSolver2.myData
private ConvexData<java.lang.Double>	IterativeRefinementSolverDouble.myData
private ConvexData<java.lang.Double>	BasePrimitiveSolver.myMatrices
private ConvexData<java.lang.Double>	NullSpaceASS.myOriginal
private ConvexData<java.lang.Double>	NullSpaceProjection.myOriginal
private ConvexData<java.lang.Double>	NullSpaceProjection.myReduced

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

Modifier and Type	Method	Description
static <N extends java.lang.Comparable<N>> ConvexData<N>	ConvexSolver.copy(ExpressionsBasedModel model, PhysicalStore.Factory<N,?> factory)
protected <N extends java.lang.Comparable<N>> ConvexData<N>	ConvexSolver.Builder.getConvexData(PhysicalStore.Factory<N,?> factory)
private static ConvexData<java.lang.Double>	IterativeRefinementSolver.getDoubleConvexData(ConvexData<java.lang.Double> data, MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Ae, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Ai, MatrixStore<Quadruple> Bi)
ConvexData<java.lang.Double>	BasePrimitiveSolver.getEntityMap()
(package private) ConvexData<java.lang.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<java.lang.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<java.lang.Double>	IterativeRefinementSolver.getDoubleConvexData(ConvexData<java.lang.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<java.lang.Double> data, Optimisation.Options options)
(package private) static NullSpaceProjection	NullSpaceProjection.reduce(ConvexData<java.lang.Double> fullModel)	Reduces the given convex optimisation problem by eliminating equality constraints using null-space projection.
private static void	IterativeRefinementSolver.updateConvexDoubleData(ConvexData<java.lang.Double> data, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Bi)
private static void	IterativeRefinementSolver.updateConvexDoubleData(ConvexData<java.lang.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

Constructor	Description
ActiveSetSolver(ConvexData<java.lang.Double> convexData, Optimisation.Options optimisationOptions)
BasePrimitiveSolver(ConvexData<java.lang.Double> convexData, Optimisation.Options optimisationOptions)
ConstrainedSolver(ConvexData<java.lang.Double> convexData, Optimisation.Options optimisationOptions)
DirectASS(ConvexData<java.lang.Double> convexData, Optimisation.Options optimisationOptions)
IterativeASS(ConvexData<java.lang.Double> convexData, Optimisation.Options optimisationOptions)
IterativeRefinementSolver(Optimisation.Options optimisationOptions, ConvexData<Quadruple> convexData)
IterativeRefinementSolver2(Optimisation.Options optimisationOptions, ConvexData<Quadruple> convexData)
IterativeRefinementSolverDouble(Optimisation.Options optimisationOptions, ConvexData<java.lang.Double> convexData)
NullSpaceASS(Optimisation.Options options, ConvexData<java.lang.Double> data)
NullSpaceProjection(ConvexData<java.lang.Double> original, QR<java.lang.Double> decomposition, MatrixStore<java.lang.Double> Z, MatrixStore<java.lang.Double> x0)
QPESolver(ConvexData<java.lang.Double> convexData, Optimisation.Options optimisationOptions)
UnconstrainedSolver(ConvexData<java.lang.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<java.lang.Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static Optimisation.Result	SimplexTableauSolver.doSolveConvexAsDual(ConvexData<java.lang.Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static Optimisation.Result	SimplexSolver.doSolveConvexAsPrimal(ConvexData<java.lang.Double> convex, Optimisation.Options options, boolean zeroC)
(package private) static Optimisation.Result	SimplexTableauSolver.doSolveConvexAsPrimal(ConvexData<java.lang.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)