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Manifold learning for parameter reduction
Large scale dynamical systems (e.g. many nonlinear coupled differential equations) can often be summarized in terms of only a few state variables (a few equations), a trait that reduces complexity and facilitates exploration of behavioral aspects of otherwise intractable models. High model dimension...
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| Publicat a: | J Comput Phys |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6528681/ https://ncbi.nlm.nih.gov/pubmed/31130740 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jcp.2019.04.015 |
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