Iterative Solvers Sample Clauses

Iterative Solvers. Once all types of sparse and dense matrices have been implemented, we have added to Parallel Colt a set of iterative solvers and preconditioners. The following solvers and preconditioners have been adapted from MTJ [60]. Solvers [13] [47]: • BiConjugate Gradients (BiCG) • BiConjugate Gradients stabilized (BiCGstab) • Conjugate Gradients (CG) • Conjugate Gradients squared (CGS) • Generalized Minimal Residual using restart (GMRES) • Iterative Refinement (Xxxxxxxxxx’x method) • Quasi-Minimal Residual (QMR) • Chebyshev iteration Preconditioners [47] [102] [113]: • Diagonal (uses the inverse of the diagonal as preconditioner) • Incomplete Cholesky without fill-in (ICC) • Incomplete LU without fill-in (ILU) • Incomplete LU with fill-in (ILUT) • Symmetrical Sucessive Overrelaxation (SSOR) • Algebraic Multigrid (AMG) Besides the above solvers and preconditiones, Parallel Colt also supports the fol- lowing preconditioned and non-preconditioned solvers for ill-posed inverse prob- lems: • Hybrid Bidiagonalization Regularization (HyBR) • Modified Residual Norm Steepest Descent (MRNSD) • Conjugate Gradient for Least Squares (CGLS)
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