Search results
- 1.0573332 - ÚFP 2024 RIV US eng J - Journal Article
Miller, V. - Žídek, Karel
High-precision FoM measurement setup for Ti:sapphire crystals.
Applied Optics. Roč. 62, č. 5 (2023), s. 1345-1350. ISSN 1559-128X. E-ISSN 2155-3165
R&D Projects: GA MŠMT(CZ) EF16_026/0008390
Institutional support: RVO:61389021
Keywords : Ti:sapphire * crystals * FoM measurement
OECD category: Thermodynamics
Impact factor: 1.9, year: 2022
Method of publishing: Limited access
https://opg.optica.org/ao/abstract.cfm?uri=ao-62-5-1345
Permanent Link: https://hdl.handle.net/11104/0343795 - 2.0532884 - ÚI 2021 RIV CH eng B - Monography
Meurant, G. - Duintjer Tebbens, Jurjen
Krylov Methods for Nonsymmetric Linear Systems - From Theory to Computations.
Cham: Springer, 2020. 686 s. Springer Series in Computational Mathematics, 57. ISBN 978-3-030-55250-3
Institutional support: RVO:67985807
Keywords : Krylov methods * nonsymmetrical linear systems * Q-OR methods * Q-MR methods * Krylov subspaces * FOM * GMRES * Hessenberg * CMRH * Arnoldi algorithm * IDR family * finite precision arithmetic * Lanczos methods
OECD category: Applied mathematics
Permanent Link: http://hdl.handle.net/11104/0311262 - 3.0477885 - ÚI 2018 RIV US eng J - Journal Article
Du, K. - Duintjer Tebbens, Jurjen - Meurant, G.
Any Admissible Harmonic Ritz Value Set is Possible for GMRES.
Electronic Transactions on Numerical Analysis. Roč. 47, September 18 (2017), s. 37-56. ISSN 1068-9613. E-ISSN 1068-9613
R&D Projects: GA ČR GA13-06684S
Institutional support: RVO:67985807
Keywords : Ritz values * harmonic Ritz values * GMRES convergence * prescribed residual norms * FOM convergence
OECD category: Applied mathematics
Impact factor: 1.138, year: 2017
http://etna.mcs.kent.edu/volumes/2011-2020/vol47/abstract.php?vol=47&pages=37-56
Permanent Link: http://hdl.handle.net/11104/0274104File Download Size Commentary Version Access a0477885.pdf 15 323.4 KB Publisher’s postprint require - 4.0404265 - 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 - 5.0404264 - 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 - 6.0404252 - 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 - 7.0404045 - 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