Applied Koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems
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Publication:1723113
DOI10.1155/2018/6010634zbMath1409.37029OpenAlexW2902132588MaRDI QIDQ1723113
J. Nathan Kutz, Steven L. Brunton, Joshua L. Proctor
Publication date: 19 February 2019
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/6010634
Computational learning theory (68Q32) NLS equations (nonlinear Schrödinger equations) (35Q55) Time series analysis of dynamical systems (37M10) Special approximation methods (nonlinear Galerkin, etc.) for infinite-dimensional dissipative dynamical systems (37L65) Functional analytic techniques in dynamical systems; zeta functions, (Ruelle-Frobenius) transfer operators, etc. (37C30) Ginzburg-Landau equations (35Q56)
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