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  1. 1.
    0495896 - ÚGN 2019 RIV CH eng C - Conference Paper (international conference)
    Béreš, Michal
    Karhunen-Loéve Decomposition of Isotropic Gaussian Random Fields Using a Tensor Approximation of Autocovariance Kernel.
    High Performance Computing in Science and Engineering. HPCSE 2017. Cham: Springer, 2018 - (Kozubek, T.), s. 188-202. Lecture Notes in Computer Science, Code 216349, Volume 11087. ISBN 978-3-319-97135-3.
    [HPCSE 2017: International Conference on High Performance Computing in Science and Engineering /3./. Karolinka (CZ), 22.05.2017-25.05.2017]
    R&D Projects: GA MŠMT LQ1602; GA MŠMT LD15105
    Institutional support: RVO:68145535
    Keywords : random fields sampling * Karhunen-Loève decomposition * tensor approximation * numerical integration
    OECD category: Applied mathematics
    https://link.springer.com/content/pdf/10.1007%2F978-3-319-97136-0_14.pdf
    Permanent Link: http://hdl.handle.net/11104/0288771
    FileDownloadSizeCommentaryVersionAccess
    UGN_0495896.pdf11.5 MBAuthor´s preprintrequire
     
     
  2. 2.
    0482834 - ÚGN 2018 RIV SK eng J - Journal Article
    Beres, Michal - Domesová, Simona
    The Stochastic Galerkin Method for Darcy Flow Problem with Log-Normal Random.
    Advances in Electrical and Electronic Engineering. Roč. 15, č. 2 (2017), s. 267-279. ISSN 1336-1376
    R&D Projects: GA MŠMT LQ1602
    Institutional support: RVO:68145535
    Keywords : Darcy flow * Gaussian random field * Karhunen-Loeve decomposition * polynomial chaos * Stochastic Galerkin method
    OECD category: Applied mathematics
    http://advances.utc.sk/index.php/AEEE/article/view/2280
    Permanent Link: http://hdl.handle.net/11104/0278234
    FileDownloadSizeCommentaryVersionAccess
    UGN_0482834.pdf2956 KBAuthor’s postprintopen-access
     
     


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