M(s)stab(L): A Generalization of IDR(s)stab(L) for Sequences of Linear Systems
Martin Peter Neuenhofen

TL;DR
Mstab is a new Krylov subspace recycling method that generalizes IDRstab for efficiently solving sequences of linear systems with fixed matrices but different right-hand sides, outperforming IDRstab in such cases.
Contribution
Mstab introduces a straightforward generalization of IDRstab, extending its applicability to sequences of linear systems with improved efficiency.
Findings
Mstab solves sequences faster than IDRstab.
For a single system, Mstab and IDRstab are equivalent.
Numerical experiments validate Mstab's efficiency.
Abstract
We propose Mstab, a novel Krylov subspace recycling method for the iterative solution of sequences of linear systems with fixed system matrix and changing right-hand sides. This new method is a straight and simple generalization of IDRstab. IDRstab in turn is a very efficient method and generalization of BiCGStab. The theory of Mstab is based on a generalization of the IDR theorem and Sonneveld spaces. Numerical experiments indicate that Mstab can solve sequences of linear systems faster than its corresponding IDRstab variant. Instead, when solving a single system both methods are identical.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Numerical Methods in Computational Mathematics · Electromagnetic Scattering and Analysis
