Preserving Symmetry in Preconditioned Krylov Subspace Methods

DOI10.1137/S1064827596311554zbMath0928.65042WikidataQ57397386 ScholiaQ57397386MaRDI QIDQ4210429

Edmond Chow, Tony F. Chan, Yousef Saad, Man-Chung Yeung

Publication date: 21 September 1998

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

convergencenumerical experimentspreconditioningiterative methodsKrylov subspace methodsinner productsincomplete orthogonalizationnearly symmetric matrices

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Numerical computation of matrix norms, conditioning, scaling (65F35)

Related Items

An efficient algorithm for regularization of Laplace transform inversion in real case, The effect of non-optimal bases on the convergence of Krylov subspace methods

Uses Software

• DQGMRES