Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems

We consider conjugate-gradient like methods for solving block symmetric indefinite linear systems that arise from saddle-point problems or, in particular, regularizations thereof. Such methods require preconditioners that preserve certain sub-blocks from the original systems but allow considerable f...

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Main Authors: Dollar, H, Gould, N, Schilders, W, Wathen, A
Format: Journal article
Language:English
Published: 2006
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author Dollar, H
Gould, N
Schilders, W
Wathen, A
author_facet Dollar, H
Gould, N
Schilders, W
Wathen, A
author_sort Dollar, H
collection OXFORD
description We consider conjugate-gradient like methods for solving block symmetric indefinite linear systems that arise from saddle-point problems or, in particular, regularizations thereof. Such methods require preconditioners that preserve certain sub-blocks from the original systems but allow considerable flexibility for the remaining blocks. We construct a number of families of implicit factorizations that are capable of reproducing the required sub-blocks and (some) of the remainder. These generalize known implicit factorizations for the unregularized case. Improved eigenvalue clustering is possible if additionally some of the noncrucial blocks are reproduced. Numerical experiments confirm that these implicit-factorization preconditioners can be very effective in practice. © 3006 Society for Industrial and Applied Mathematics.
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spelling oxford-uuid:9f99da78-87dc-43a7-8e06-9eff67e54e152022-03-27T00:59:15ZImplicit-factorization preconditioning and iterative solvers for regularized saddle-point systemsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9f99da78-87dc-43a7-8e06-9eff67e54e15EnglishSymplectic Elements at Oxford2006Dollar, HGould, NSchilders, WWathen, AWe consider conjugate-gradient like methods for solving block symmetric indefinite linear systems that arise from saddle-point problems or, in particular, regularizations thereof. Such methods require preconditioners that preserve certain sub-blocks from the original systems but allow considerable flexibility for the remaining blocks. We construct a number of families of implicit factorizations that are capable of reproducing the required sub-blocks and (some) of the remainder. These generalize known implicit factorizations for the unregularized case. Improved eigenvalue clustering is possible if additionally some of the noncrucial blocks are reproduced. Numerical experiments confirm that these implicit-factorization preconditioners can be very effective in practice. © 3006 Society for Industrial and Applied Mathematics.
spellingShingle Dollar, H
Gould, N
Schilders, W
Wathen, A
Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems
title Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems
title_full Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems
title_fullStr Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems
title_full_unstemmed Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems
title_short Implicit-factorization preconditioning and iterative solvers for regularized saddle-point systems
title_sort implicit factorization preconditioning and iterative solvers for regularized saddle point systems
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AT gouldn implicitfactorizationpreconditioninganditerativesolversforregularizedsaddlepointsystems
AT schildersw implicitfactorizationpreconditioninganditerativesolversforregularizedsaddlepointsystems
AT wathena implicitfactorizationpreconditioninganditerativesolversforregularizedsaddlepointsystems