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Reduced-order modelling of parameter-dependent, linear and nonlinear dynamic partial differential equation models
In this paper, we develop reduced-order models for dynamic, parameter-dependent, linear and nonlinear partial differential equations using proper orthogonal decomposition (POD). The main challenges are to accurately and efficiently approximate the POD bases for new parameter values and, in the case...
Tallennettuna:
| Julkaisussa: | Proc Math Phys Eng Sci |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
The Royal Society Publishing
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5415687/ https://ncbi.nlm.nih.gov/pubmed/28484327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2016.0809 |
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