New choices of preconditioning matrices for generalized inexact parameterized iterative methods

DOI10.1016/j.cam.2010.05.054zbMath1202.65039OpenAlexW2049826886MaRDI QIDQ711247

Yang Cao, Lin-Quan Yao, Mei-Qun Jiang

Publication date: 25 October 2010

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2010.05.054

zbMATH Keywords

numerical examplespreconditioningiterative methodsaddle point problemsinexact Uzawa method

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Preconditioners for iterative methods (65F08)

Related Items (15)

A splitting preconditioner for saddle point problems ⋮ A generalized relaxed positive-definite and skew-Hermitian splitting preconditioner for non-Hermitian saddle point problems ⋮ A note on the positive stable block triangular preconditioner for generalized saddle point problems ⋮ Generalized AOR method for solving a class of generalized saddle point problems ⋮ A modified dimensional split preconditioner for generalized saddle point problems ⋮ New local generalized shift-splitting preconditioners for saddle point problems ⋮ A class of Uzawa-PSS iteration methods for nonsingular and singular non-Hermitian saddle point problems ⋮ A class of preconditioned generalized local PSS iteration methods for non-Hermitian saddle point problems ⋮ Shift-splitting preconditioners for saddle point problems ⋮ A parameterized deteriorated PSS preconditioner and its optimization for nonsymmetric saddle point problems ⋮ A relaxed deteriorated PSS preconditioner for nonsymmetric saddle point problems from the steady Navier-Stokes equation ⋮ Generalized ASOR and modified ASOR methods for saddle point problems ⋮ On preconditioned and relaxed AVMM methods for quadratic programming problems with equality constraints ⋮ A generalized shift-splitting preconditioner for saddle point problems ⋮ Optimization of a parameterized inexact Uzawa method for saddle point problems

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