Reduced Markovian Models of Dynamical Systems

Leveraging recent work on data-driven methods for constructing a finite state space Markov process from dynamical systems, we address two problems for obtaining further reduced statistical representations. The first problem is to extract the most salient reduced-order dynamics for a given timescale...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Giorgini, Ludovico Theo, Souza, Andre N, Schmid, Peter J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Dynamical systems Graph theory Time dependence
Online-Zugang:	Volltext
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