Stochastic gradient descent based Koopman operator approximation
Description preview
Extended dynamic mode decomposition (EDMD) and its kernel version (kEDMD) are data-driven algorithms for analyzing the global behavior of dynamical systems. The current project I am working on is making EDMD scalable and more flexible in terms of the basis functions required in the algorithm. The set of basis functions required in EDMD is fixed,…
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