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- 1.0454997 - ÚI 2017 RIV SE eng J - Journal Article
Duintjer Tebbens, Jurjen - Meurant, G.
On the Convergence of Q-OR and Q-MR Krylov Methods for Solving Nonsymmetric Linear Systems.
Bit. Roč. 56, č. 1 (2016), s. 77-97. ISSN 0006-3835. E-ISSN 1572-9125
R&D Projects: GA ČR GA13-06684S
Institutional support: RVO:67985807
Keywords : Krylov method * Q-OR method * Q-MR method * BiCG * QMR * CMRH * eigenvalue influence * prescribed convergence
Subject RIV: BA - General Mathematics
Impact factor: 1.670, year: 2016
Permanent Link: http://hdl.handle.net/11104/0255656File Download Size Commentary Version Access a0454997.pdf 15 528.6 KB Publisher’s postprint require - 2.0404252 - UIVT-O 20010076 RIV NL eng J - Journal Article
Gutknecht, M. H. - Rozložník, Miroslav
By how much can Residual Minimization Accelerate the Convergence of Orthogonal Residual Methods?
Numerical Algorithms. Roč. 27, - (2001), s. 189-213. ISSN 1017-1398. E-ISSN 1572-9265
R&D Projects: GA ČR GA201/98/P108
Institutional research plan: AV0Z1030915
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
Subject RIV: BA - General Mathematics
Impact factor: 0.438, year: 2001
Permanent Link: http://hdl.handle.net/11104/0124515File Download Size Commentary Version Access 0404252.pdf 0 1.3 MB Author´s preprint open-access - 3.0404045 - UIVT-O 20000180 CH eng V - Research Report
Gutknecht, M. H. - Rozložník, Miroslav
By how much can Residual Minimization Accelerate the Convergence of Orthogonal Residual Methods?.
Zurich: SAM ETH, 2000. 20 s. Technical Report, SAM 2000-09.
R&D Projects: GA ČR GA201/98/P108
Institutional research plan: AV0Z1030915
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
Permanent Link: http://hdl.handle.net/11104/0124325