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| 1. |
Calvetti, Daniela: Bayesian Scientific Computing / by Daniela Calvetti, Erkki Somersalo. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVII, 286 p. 77 illus., 55 illus. in color.), ISBN 978-3-031-23824-6
(Applied Mathematical Sciences ; 215)
DOI: 10.1007/978-3-031-23824-6
 Online-Ressource |
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| 2. |
Dũng, Dinh: Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / by Dinh Dũng, Van Kien Nguyen, Christoph Schwab, Jakob Zech. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource (XV, 207 p.), ISBN 978-3-031-38384-7
(Lecture Notes in Mathematics ; 2334)
DOI: 10.1007/978-3-031-38384-7
Online-Ressource |
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| 3. |
Ooi, Melanie Po-Leen: Analytical evaluation of uncertainty propagation for probabilistic design optimisation / Melanie Po-Leen Ooi, Arvind Rajan, Ye Chow Kuang, Serge Demidenko. -
Bristol: IOP Publishing, [2023]. - 1 Band, verschiedene Seitenzählungen : Illustrationen, Diagramme, ISBN 978-0-7503-4929-1
 Buch/keine Angabe |
Signatur: UBN/SK 840 O59
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| 4. |
Dũng, Dinh: Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs / Dinh Dũng, Van Kien Nguyen, Chistoph Schwab, Jakob Zech. -
Cham: Springer, [2023]. - xv, 205 Seiten, ISBN 978-3-031-38383-0
(Lecture notes in mathematics ; volume 2334)
DOI: 10.1007/978-3-031-38384-7
Buch/keine Angabe |
Präsenznutzung
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| 5. |
Trails in Kinetic Theory : Foundational Aspects and Numerical Methods / edited by Giacomo Albi, Sara Merino-Aceituno, Alessia Nota, Mattia Zanella. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XIV, 251 p. 61 illus., 42 illus. in color.), ISBN 978-3-030-67104-4
(SEMA SIMAI Springer Series ; 25)
DOI: 10.1007/978-3-030-67104-4
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