Applied Mathematics and Physics. 2013, 1(4), 90-93
DOI: 10.12691/amp-1-4-1
Open AccessArticle
Mehdi Delkhosh1, and Hossein Zareamoghaddam1
1Department of Mathematics, Islamic Azad University, Bardaskan Branch, Bardaskan, Iran
Pub. Date: October 11, 2013
Cite this paper:
Mehdi Delkhosh and Hossein Zareamoghaddam. A Preconditioned ELMRES Implementation. Applied Mathematics and Physics. 2013; 1(4):90-93. doi: 10.12691/amp-1-4-1
Abstract
In this paper we review the ELMentary RESidual(ELMRES) algorithm for solving linear system of equations. ELMRES is a krylov subspace method which uses the Hessenberg transformation as the projection technique for reducing the dimension of original matrix A. We apply some preconditioned techniques for this algorithm. At the end of this paper, some numerical examples have been shown to compare the preconditioned ELMRES with the original version.Keywords:
ELMRES preconditioned technique Hessenberg algorithm least square problems
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