Convergence Analysis for A Class of Iterative Methods for Solving Saddle Point Systems
Long Chen, Yongke Wu

TL;DR
This paper provides a convergence analysis for a class of iterative methods solving saddle point systems, demonstrating weaker conditions for convergence and analyzing the effectiveness of preconditioned iterative methods.
Contribution
It establishes convergence conditions for the BWY iterative scheme and inexact Uzawa method under weaker assumptions than previously known.
Findings
BWY scheme converges under weaker contraction conditions
Inexact Uzawa method also converges with weaker bounds
Preconditioned GMRES with BWY preconditioner converges under realistic assumptions
Abstract
Convergence analysis of a nested iterative scheme proposed by Bank,Welfert and Yserentant (BWY) ([Numer. Math., 666: 645-666, 1990]) for solving saddle point system is presented. It is shown that this scheme converges under weaker conditions: the contraction rate for solving the block matrix is bound by . Similar convergence result is also obtained for a class of inexact Uzawa method with even weaker contraction bound . Preconditioned generalized minimal residual method using BWY method as a preconditioner is shown to converge with realistic assumptions.
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Taxonomy
TopicsMatrix Theory and Algorithms · Numerical methods for differential equations · Advanced Numerical Methods in Computational Mathematics
