Error-Minimizing Krylov Subspace Methods

descriptionPublicationkeyboard_double_arrow_right Article 01 May 1994 Germany English Publisher:Society for Industrial & Applied Mathematics (SIAM)Journal:SIAM Journal on Scientific Computing, volume 15, pages 511-527 (issn: 1064-8275, eissn: 1095-7197,

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Authors: Weiss, Rüdiger;

doi: 10.1137/0915034

Error-Minimizing Krylov Subspace Methods

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Abstract

This paper first introduces generalized conjugate gradient methods which specialize to error minimizing procedures as well as to residual minimizing methods. General minimum error methods are then introduced, and the two method classes are compared.

Country

Germany

Related Organizations

Karlsruhe Institute of Technology
Germany

Keywords

ddc:004, Iterative numerical methods for linear systems, residual minimizing methods, DATA processing & computer science, Krylov subspace methods, minimum error methods, info:eu-repo/classification/ddc/004, conjugate gradient methods, 004

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