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Learning partial differential equations via data discovery and sparse optimization
We investigate the problem of learning an evolution equation directly from some given data. This work develops a learning algorithm to identify the terms in the underlying partial differential equations and to approximate the coefficients of the terms only using data. The algorithm uses sparse optim...
Uloženo v:
| Vydáno v: | Proc Math Phys Eng Sci |
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| Hlavní autor: | |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
The Royal Society Publishing
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5312119/ https://ncbi.nlm.nih.gov/pubmed/28265183 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2016.0446 |
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