SuanShu, a Java numerical and statistical library

Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary

Class Summary
BiconjugateGradientSolver The Biconjugate Gradient method (BiCG) is useful for solving non-symmetric n-by-n linear systems.
BiconjugateGradientStabilizedSolver The Biconjugate Gradient Stabilized (BiCGSTAB) method is useful for solving non-symmetric n-by-n linear systems.
ConjugateGradientNormalErrorSolver The Conjugate Gradient method (CG) can be applied on the normal equations.
ConjugateGradientNormalResidualSolver The Conjugate Gradient method (CG) can be applied on the normal equations.
ConjugateGradientSolver The Conjugate Gradient method (CG) is useful for solving symmetric n-by-n linear systems.
ConjugateGradientSquaredSolver The Conjugate Gradient Squared method (CGS) is useful for solving non-symmetric n-by-n linear systems.
GeneralizedConjugateResidualSolver The Generalized Conjugate Residual method (GCR) is useful for solving non-symmetric n-by-n linear systems, like GMRES.
GeneralizedMinimalResidualSolver The Generalized Minimal Residual method (GMRES) is useful for solving non-symmetric n-by-n linear systems.
MinimalResidualSolver The Minimal Residual method (MINRES) is useful for solving symmetric n-by-n linear systems (possibly indefinite or singular).
QuasiMinimalResidualSolver The Quasi-Minimal Residual method (QMR) is useful for solving non-symmetric n-by-n linear systems.
SteepestDescentSolver The Steepest Descent method (SDM) can solve symmetric n-by-n linear systems.
 


SuanShu, a Java numerical and statistical library

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