Randomized Algorithms for Non-Intrusive Parametric Reduced Order Modeling
| Autor: | Christian Perron, Dimitri N. Mavris, Dushhyanth Rajaram, Tejas G. Puranik |
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| Rok vydání: | 2020 |
| Předmět: |
020301 aerospace & aeronautics
Emulation Computer science Multidisciplinary design optimization Aerospace Engineering 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Randomized algorithm symbols.namesake 0203 mechanical engineering 0103 physical sciences Linear algebra Singular value decomposition symbols Gaussian process Algorithm Newton's method Parametric statistics |
| Zdroj: | AIAA Journal. 58:5389-5407 |
| ISSN: | 1533-385X 0001-1452 |
| DOI: | 10.2514/1.j059616 |
| Popis: | This paper demonstrates the development of purely data-driven, nonintrusive parametric reduced-order models for the emulation of high-dimensional field outputs using randomized linear algebra techn... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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