Efficient Solution of Stochastic Galerkin Matrix Equations via Reduced Basis and Tensor Train Approximation

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SYSNO	0586684
Title	Efficient Solution of Stochastic Galerkin Matrix Equations via Reduced Basis and Tensor Train Approximation
Author(s)	Béreš, Michal (UGN-S)_{ORCID, RID, SAI}
Corespondence/senior	Béreš, Michal - Korespondující autor
Source Title	Large-Scale Scientific Computations, Lecture Notes in Computer Science, 13952. S. 205-214. - Cham : Springer Nature Switzerland AG, 2024 / Lirkov I. ; Margenov S.
Conference	LSSC 2023: International Conference on Large-Scale Scientific Computations /14./, 05.06.2023 - 09.06.2023, Sozopol
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	847593, XE - EU countries
Institutional support	UGN-S - RVO:68145535
Language	eng
Country	CH
Keywords	stochastic Galerkin method * reduced basis * tensor train approximation
URL	https://link.springer.com/book/10.1007/978-3-031-56208-2
Permanent Link	https://hdl.handle.net/11104/0354116

Number of the records: 1