Uses of Class
org.ojalgo.optimisation.convex.ConvexSolver.Configuration
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Packages that use ConvexSolver.Configuration Package Description org.ojalgo.optimisation org.ojalgo.optimisation.convex -
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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-inConvexSolver
.Methods in org.ojalgo.optimisation with parameters of type ConvexSolver.Configuration Modifier and Type Method Description Optimisation.Options
Optimisation.Options. convex(ConvexSolver.Configuration configuration)
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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. extendedPrecision(boolean extendedPrecision)
With extended precision the usual solver is wrapped by a master algorithm, implemented inQuadruple
precision, that iteratively refines (zoom and shift) the problem to be solved by the delegate solver.ConvexSolver.Configuration
ConvexSolver.Configuration. iterative(NumberContext accuracy)
The accuracy of the iterative Schur complement solver used inIterativeASS
.ConvexSolver.Configuration
ConvexSolver.Configuration. smallDiagonal(double factor)
The [Q] matrix (of quadratic terms) is "inverted" using a matrix decomposition returned bynewSolverSPD(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.
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