Search results
- 1.0404265 - UIVT-O 20010084 CH eng V - Research Report
Gutknecht, M. H. - Rozložník, Miroslav
A Framework for Generalized Conjugate Gradient Methods - with Special Emphasis on Contributions by Rüdiger Weiss.
Zurich: SAM ETH, 2001. 20 s. Research Report, SAM.
R&D Projects: GA AV ČR IAA1030103; GA ČR GA101/00/1035
Institutional research plan: AV0Z1030915
Keywords : sparse linear systems * Krylov space method * orthogonal residual method * minimal residual method * conjugate gradient method * residual smoothing * CG * CGNE * CGNR * CR * FOM * GMRES * PRes
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124528 - 2.0404264 - UIVT-O 20020013 RIV NL eng J - Journal Article
Gutknecht, M. H. - Rozložník, Miroslav
A Framework for Generalized Conjugate Gradient Methods - with Special Emphasis on Contributions by Rüdiger Weiss.
Applied Numerical Mathematics. Roč. 41, - (2002), s. 7-22. ISSN 0168-9274. E-ISSN 1873-5460
R&D Projects: GA AV ČR IAA1030103; GA ČR GA101/00/1035
Institutional research plan: AV0Z1030915
Keywords : sparse linear systems * Krylov space method * orthogonal residual method * minimal residual method * conjugate gradient method * residual smoothing * CG * CGNE * CGNR * CR * FOM * GMRES * PRES
Subject RIV: BA - General Mathematics
Impact factor: 0.504, year: 2002
Permanent Link: http://hdl.handle.net/11104/0124527File Download Size Commentary Version Access 0404264.pdf 0 749.4 KB Author´s preprint open-access - 3.0404252 - 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 - 4.0404045 - 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