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Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Extracting governing equations from data is a central challenge in many diverse areas of science and engineering. Data are abundant whereas models often remain elusive, as in climate science, neuroscience, ecology, finance, and epidemiology, to name only a few examples. In this work, we combine spar...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4839439/ https://ncbi.nlm.nih.gov/pubmed/27035946 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1517384113 |
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