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- 1.0537200 - ÚGN 2021 RIV CH eng C - Conference Paper (international conference)
Béreš, Michal
An Efficient Reduced Basis Construction for Stochastic Galerkin Matrix Equations Using Deflated Conjugate Gradients.
Lecture Notes in Electrical Engineering. Vol. 554. Cham: Springer Nature Switzerland AG, 2020 - (Zelinka, I.; Brandstetter, P.; Trong Dao, T.; Hoang Duy, V.; Kim, S.), s. 175-184. ISBN 978-3-030-14906-2. ISSN 1876-1100. E-ISSN 1876-1119.
[International Conference on Advanced Engineering Theory and Applications 2018 /5./. Ostrava (CZ), 11.11.2018-13.11.2018]
R&D Projects: GA MŠMT LQ1602
Institutional support: RVO:68145535
Keywords : stochastic Galerkin method * reduced basis method * deflated conjugate gradients method * darcy flow problem
OECD category: Applied mathematics
https://link.springer.com/chapter/10.1007/978-3-030-14907-9_18
Permanent Link: http://hdl.handle.net/11104/0314977File Download Size Commentary Version Access UGN_0537200.pdf 2 370.3 KB Author’s postprint require - 2.0534428 - ÚGN 2021 RIV CZ eng J - Journal Article
Béreš, Michal
A comparison of approaches for the construction of reduced basis for stochastic Galerkin matrix equations.
Applications of Mathematics. Roč. 65, č. 2 (2020), s. 191-225. ISSN 0862-7940. E-ISSN 1572-9109
R&D Projects: GA MŠMT LQ1602; GA TA ČR(CZ) TK02010118
Institutional support: RVO:68145535
Keywords : stochastic Galerkin method * educed basis method * deflated conjugate gradients method * Darcy flow problem
OECD category: Applied mathematics
Impact factor: 0.881, year: 2020
Method of publishing: Limited access
https://link.springer.com/article/10.21136/AM.2020.0257-19
Permanent Link: http://hdl.handle.net/11104/0312626File Download Size Commentary Version Access UGN_0534428.pdf 1 681.9 KB Publisher’s postprint require