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Data-driven discovery of partial differential equations
We propose a sparse regression method capable of discovering the governing partial differential equation(s) of a given system by time series measurements in the spatial domain. The regression framework relies on sparsity-promoting techniques to select the nonlinear and partial derivative terms of th...
Gorde:
| Argitaratua izan da: | Sci Adv |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
American Association for the Advancement of Science
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5406137/ https://ncbi.nlm.nih.gov/pubmed/28508044 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.1602614 |
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