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- 1.0495023 - MÚ 2019 RIV US eng J - Journal Article
Carson, E.T. - Rozložník, Miroslav - Strakoš, Z. - Tichý, P. - Tůma, M.
The numerical stability analysis of pipelined conjugate gradient methods: historical context and methodology.
SIAM Journal on Scientific Computing. Roč. 40, č. 5 (2018), A3549-A3580. ISSN 1064-8275. E-ISSN 1095-7197
Institutional support: RVO:67985840
Keywords : pipelined Krylov subspace methods * pipelined conjugate gradient methods * numerical stability
OECD category: Pure mathematics
Impact factor: 2.310, year: 2018
https://epubs.siam.org/doi/abs/10.1137/16M1103361
Permanent Link: http://hdl.handle.net/11104/0288062File Download Size Commentary Version Access Rozloznik1.pdf 15 19.5 MB Publisher’s postprint require - 2.0444128 - ÚI 2016 RIV CZ eng C - Conference Paper (international conference)
Lukšan, Ladislav - Vlček, Jan
Nonlinear Conjugate Gradient Methods.
Programs and algorithms of numerical mathematics 17. Proceedings of seminar. Praha: Matematický ústav AV ČR, v.v.i, 2015 - (Chleboun, J.; Přikryl, P.; Segeth, K.; Šístek, J.; Vejchodský, T.), s. 130-135. ISBN 978-80-85823-64-6.
[Programs and Algorithms of Numerical Mathematics /17./. Dolní Maxov (CZ), 08.06.2014-13.06.2014]
Institutional support: RVO:67985807
Keywords : minimization * nonlinear conjugate gradient methods * comparison of methods * efficiency of methods
Subject RIV: BA - General Mathematics
http://dml.cz/handle/10338.dmlcz/702674
Permanent Link: http://hdl.handle.net/11104/0246706File Download Size Commentary Version Access PANM_17-2014-1_22.pdf 8 173.2 KB Publisher’s postprint open-access - 3.0403672 - UIVT-O 990057 CZ eng V - Research Report
Lukšan, Ladislav - Vlček, Jan
Conjugate Gradient Methods for Saddle Point Systems.
Prague: ICS AS CR, 1999. 8 s. Technical Report, V-778.
R&D Projects: GA ČR GA201/96/0918
Keywords : nonlinear programming * sparse problems * equality constraints * saddle point systems * indefinite systems * indefinite preconditioners * conjugate gradient methods
Permanent Link: http://hdl.handle.net/11104/0123970File Download Size Commentary Version Access v778-99.pdf 22 169.7 KB Other open-access - 4.0321400 - ÚI 2009 CZ eng A - Abstract
Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
Computational Experience with Modified Conjugate Gradient Methods for Unconstrained Optimization.
SNA '09 - Seminar on Numerical Analysis & Winter School. Ostrava: Institute of Geonics AS CR, 2009 - (Blaheta, R.; Starý, J.). s. 5-7 příloha. ISBN 978-80-86407-60-9.
[SNA '09 - Seminar on numerical analysis: modelling and simulation of challenging engineering problems. 02.02.2009-06.02.2009, Ostrava]
R&D Projects: GA ČR GA201/09/1957
Institutional research plan: CEZ:AV0Z10300504
Keywords : conjugate gradient methods * unconstrained minimization * computational experience
Permanent Link: http://hdl.handle.net/11104/0169961 - 5.0317833 - ÚI 2009 SIGLE CZ eng V - Research Report
Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
Computational experience with modified conjugate gradient methods for unconstrained optimization.
Prague: ICS AS CR, 2008. 16 s. Technical Report, V-1038.
R&D Projects: GA AV ČR IAA1030405; GA ČR GP201/06/P397
Institutional research plan: CEZ:AV0Z10300504
Keywords : numerical optimization * conjugate direction methods * conjugate gradient methods * global convergence * numerical experiments
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0167378File Download Size Commentary Version Access v1038-08.pdf 33 164.6 KB Other open-access