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Forward Stability of Iterative Refinement with a Relaxation for Linear Systems


Article Information

Title: Forward Stability of Iterative Refinement with a Relaxation for Linear Systems

Authors: Alicja Smoktunowicz, Jakub Kierzkowski, Iwona Wróbel

Journal: Journal of advances in applied & computational mathematics

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Year: 2016

Volume: 3

Issue: 2

Language: en

DOI: 10.15377/2409-5761.2016.03.02.1

Keywords: Iterative refinementnumerical stabilitycondition number.

Categories

Abstract

 Stability analysis of Wilkinson’s iterative refinement method IR(ω) with a relaxation parameter ω for solving linear systems is given. It extends existing results for ω=1, i.e., for Wilkinson’s iterative refinement method. We assume that all computations are performed in fixed (working) precision arithmetic. Numerical tests were done in MATLAB to illustrate our theoretical results. A particular emphasis is given on convergence of iterative refinement method with a relaxation. A preliminary error analysis of the Algorithm IR(ω) was given in [11]. Our opinion is opposite to that given in [11], since our experiments show that the choice ω=1 is the best choice from the point of numerical stability.


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