Koopman Operator, Geometry, and Learning of Dynamical Systems

2021/07/20 by Igor Mezić · 21 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications

paper · pdf · doi:10.1090/noti2306

Abstract

Koopman operator theory has recently emerged as one of the main candidates for machine learning of dynamical processes. In this article, we briefly describe its history and the current focus, setting it within the new concept of dynamic process representation.

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