Relaxation strategies for nested Krylov methods
type: Item
instance of: scholarly article
title: Relaxation strategies for nested Krylov methods
zbMATH Open document ID: 1069.65033
author: Jasper van den Eshof
author: Gerard L. G. Sleijpen
author: Martin B. van Gijzen
published in: Journal of Computational and Applied Mathematics
publication date: 2005-05-04T00:00:00Z
review text: The authors present a prconditioned Krylov subspaces technique based on another ``flexible'' iterative Krylov method. The result consists in the reduction of the work concerned with the matrix-vector products. Numerical experiments are presented for a global ocean circulation problem.
reviewed by: Constantin Popa
Mathematics Subject Classification ID: 65F10
Mathematics Subject Classification ID: 65F35
zbMATH DE Number: 2164838
zbMATH Keywords: inexact matrix-vector multiplication
zbMATH Keywords: flexible Krylov methods
zbMATH Keywords: inner-outer iteration
zbMATH Keywords: relaxation strategies
zbMATH Keywords: Schur complement
zbMATH Keywords: numerical experiments
zbMATH Keywords: global ocean circulation
zbMATH Keywords: preconditioning
zbMATH Keywords: Krylov subspace methods
describes a project that uses: MatrixMarket
describes a project that uses: BiCGstab
describes a project that uses: mctoolbox
MaRDI profile type: Publication
full work available at URL: j.cam.2004.09.024
OpenAlex ID: W2117782600
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DOI: 10.1016/J.CAM.2004.09.024
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description: scientific article; zbMATH DE number 2164838