Comparison of numerical methods in uncertainty quantification
| dc.contributor.author | Farcas, Ionut-Gabriel | |
| dc.contributor.editor | Plödereder, E. | |
| dc.contributor.editor | Grunske, L. | |
| dc.contributor.editor | Schneider, E. | |
| dc.contributor.editor | Ull, D. | |
| dc.date.accessioned | 2017-07-26T11:00:00Z | |
| dc.date.available | 2017-07-26T11:00:00Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | This paper presents and compares the results obtained using several methods for Stochastic Computations, used in Uncertainty Quantification. We practically present the methods using a simple ODE model. The focus is on both intrusive and non-intrusive methods, namely the Monte Carlo method, along with methods based on generalized polynomial $chaos(gPC)$ methodology. Moreover, we asses the obtained results by comparing them with the analytical solution of the system. | en |
| dc.identifier.isbn | 978-3-88579-626-8 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-232 | |
| dc.title | Comparison of numerical methods in uncertainty quantification | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 2424 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 2413 | |
| gi.conference.date | 22.-26. September 2014 | |
| gi.conference.location | Stuttgart |
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