Block Two-stage Methods for Singular Systems and Markov Chains

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Title: Block Two-stage Methods for Singular Systems and Markov Chains
Authors: Migallón, Violeta | Penadés, Jose | Szyld, Daniel B.
Research Group/s: Computación de Altas Prestaciones y Paralelismo
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Parallel computing | Markov chains
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Date Created: 3-Sep-2007
Issue Date: 4-Oct-2007
Abstract: The use of block two-stage methods for the iterative solution of consistent singular linear systems is studied. In particular, hypotheses are provided for the convergence of non-stationary methods, i.e., when the number of inner iterations may vary from block to block and from one outer iteration to another.
Description: Research Report 95-121, Department of Mathematics, Temple University, December 1995. This paper appeared, in revised form, in Numerical Linear Algebra with Applications, vol. 3 (1996) 413-426.
Sponsor: DGICYT PR95-012 and PR095-013
URI: http://hdl.handle.net/10045/2024
Language: eng
Type: info:eu-repo/semantics/bookPart
Peer Review: si
Appears in Collections:INV - gCAPyP - Capítulos de Libros
Institucional - IUIEG - Publicaciones

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