Uses of Class
org.ojalgo.optimisation.convex.ConvexSolver.Configuration

Packages that use ConvexSolver.Configuration

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

Uses of ConvexSolver.Configuration in org.ojalgo.optimisation

Fields in org.ojalgo.optimisation declared as ConvexSolver.Configuration

Modifier and Type	Field	Description
private ConvexSolver.Configuration	Optimisation.Options.myConvexConfiguration

Methods in org.ojalgo.optimisation that return ConvexSolver.Configuration

Modifier and Type	Method	Description
ConvexSolver.Configuration	Optimisation.Options.convex()	Configurations specific to ojAlgo's built-in ConvexSolver.

Methods in org.ojalgo.optimisation with parameters of type ConvexSolver.Configuration

Modifier and Type	Method	Description
Optimisation.Options	Optimisation.Options.convex(ConvexSolver.Configuration configuration)

Uses of ConvexSolver.Configuration in org.ojalgo.optimisation.convex

Methods in org.ojalgo.optimisation.convex that return ConvexSolver.Configuration

Modifier and Type	Method	Description
ConvexSolver.Configuration	ConvexSolver.Configuration.combinedScaleFactor(boolean combinedScaleFactor)	Only relevant with extended precision.
ConvexSolver.Configuration	ConvexSolver.Configuration.extendedPrecision(boolean extendedPrecision)	With extended precision the usual solver is wrapped by a master algorithm, implemented in Quadruple precision, that iteratively refines (zoom and shift) the problem to be solved by the delegate solver.
ConvexSolver.Configuration	ConvexSolver.Configuration.iterative(java.util.function.Supplier<IterativeSolverTask> solver, java.util.function.Supplier<Preconditioner> preconditioner)
ConvexSolver.Configuration	ConvexSolver.Configuration.iterative(java.util.function.Supplier<IterativeSolverTask> solver, java.util.function.Supplier<Preconditioner> preconditioner, NumberContext accuracy)
ConvexSolver.Configuration	ConvexSolver.Configuration.iterative(java.util.function.Supplier<IterativeSolverTask> solver, NumberContext accuracy)	Select which iterative linear system solver to use for the Schur-complement step in IterativeASS.
ConvexSolver.Configuration	ConvexSolver.Configuration.iterative(NumberContext accuracy)	The accuracy of the iterative Schur complement solver used in IterativeASS.
ConvexSolver.Configuration	ConvexSolver.Configuration.projection(java.lang.Boolean projection)	Null-Space projection.
ConvexSolver.Configuration	ConvexSolver.Configuration.smallDiagonal(double factor)	The [Q] matrix (of quadratic terms) is "inverted" using a matrix decomposition returned by newSolverSPD(Structure2D).
ConvexSolver.Configuration	ConvexSolver.Configuration.solverGeneral(java.util.function.Function<Structure2D,MatrixDecomposition.Solver<java.lang.Double>> factory)	This matrix decomposition should be able to "invert" the full KKT systsem body matrix (which is symmetric) and/or its Schur complement with regards to the [Q] matrix (of quadratic terms).
ConvexSolver.Configuration	ConvexSolver.Configuration.solverSPD(java.util.function.Function<Structure2D,MatrixDecomposition.Solver<java.lang.Double>> factory)	The [Q] matrix (of quadratic terms) is supposed to be symmetric positive definite (or at least semidefinite), but in reality there are usually many deficiencies.