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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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Bibliografski detalji
Izdano u:Proc Natl Acad Sci U S A
Glavni autori: Brunton, Steven L., Proctor, Joshua L., Kutz, J. Nathan
Format: Artigo
Jezik:Inglês
Izdano: National Academy of Sciences 2016
Teme:
Online pristup: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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