Conjugate gradient-like algorithms for solving nonsymmetric linear systems

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Abstract

This paper presents a unified formulation of a class of the conjugate gradient-like algorithms for solving nonsymmetric linear systems. The common framework is the Petrov- Galerkin method on Krylov subspaces. We discuss some practical points concerning the methods and point out some of the interrelations between them.

Original languageEnglish (US)
Pages (from-to)417-424
Number of pages8
JournalMathematics of Computation
Volume44
Issue number170
DOIs
StatePublished - Apr 1985

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