Preconditioned AOR iterative method for linear systems

From MaRDI portal
Publication:881487

DOI10.1016/j.apnum.2006.07.029zbMath1127.65020OpenAlexW2001190640MaRDI QIDQ881487

Li Wang, Meijun Wu, Yong-Zhong Song

Publication date: 30 May 2007

Published in: Applied Numerical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apnum.2006.07.029




Related Items (20)

Convergence of SSOR methods for linear complementarity problemsConvergence analysis of the preconditioned Gauss-Seidel method for \(H\)-matricesPreconditioned generalized mixed-type splitting iterative method for solving weighted least-squares problemsSome new preconditioned generalized AOR methods for solving weighted linear least squares problemsA Preconditioned AOR Iterative Method for the Absolute Value EquationsOn the preconditioned AOR iterative method for \(Z\)-matricesOn the solution of the fuzzy Sylvester matrix equationComparison results of the preconditioned AOR methods for \(L\)-matricesConvergence analysis of preconditioned AOR iterative method for linear systemsImproving preconditioned SOR-type iterative methods for L-matricesNew preconditioned AOR iterative method for Z-matricesOn a class of multi-level preconditioners for Z-matricesA reduced domain strategy for local mesh movement application in unstructured gridsTwo class of synchronous matrix multisplitting schemes for solving linear complementarity problemsAsynchronous multisplitting GAOR method and asynchronous multisplitting SSOR method for systems of weakly nonlinear equationsMulti-level preconditioned block accelerated overrelaxation iteration method for Z-matricesConvergence analysis of the two preconditioned iterative methods for \(M\)-matrix linear systemsPreconditioned AOR iterative methods for \(M\)-matricesA new family of \((I+S)\)-type preconditioner with some applicationsA new version of the accelerated overrelaxation iterative method



Cites Work


This page was built for publication: Preconditioned AOR iterative method for linear systems