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By how much can Residual Minimization Accelerate the Convergence of Orthogonal Residual Methods?

SYSNO ASEP	0404045
Document Type	V - Research Report
R&D Document Type	The record was not marked in the RIV
Title	By how much can Residual Minimization Accelerate the Convergence of Orthogonal Residual Methods?
Author(s)	Gutknecht, M. H. (CH) Rozložník, Miroslav (UIVT-O)_{SAI, RID, ORCID}
Issue data	Zurich: SAM ETH, 2000
Series	Technical Report
Series number	SAM 2000-09
Number of pages	20 s.
Language	eng - English
Country	CH - Switzerland
Keywords	system of linear algebraic equations ; iterative method ; Krylov space method ; conjugate gradient method ; biconjugate gradient method ; CG ; CGNE ; CGNR ; CGS ; FOM ; GMRes ; QMR ; TFQMR ; residual smoothing ; MR smoothing ; QMR smoothing
R&D Projects	GA201/98/P108 GA ČR - Czech Science Foundation (CSF)
CEZ	1030915
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2001

Number of the records: 1