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pro vyhledávání: '"Andreuzzi, Francesco"'
Autor:
Ichinaga, Sara M., Andreuzzi, Francesco, Demo, Nicola, Tezzele, Marco, Lapo, Karl, Rozza, Gianluigi, Brunton, Steven L., Kutz, J. Nathan
The dynamic mode decomposition (DMD) is a simple and powerful data-driven modeling technique that is capable of revealing coherent spatiotemporal patterns from data. The method's linear algebra-based formulation additionally allows for a variety of o
Externí odkaz:
http://arxiv.org/abs/2402.07463
Publikováno v:
SIAM Journal on Applied Dynamical Systems (2023), Vol. 22, Iss. 3
Dynamic mode decomposition (DMD) has recently become a popular tool for the non-intrusive analysis of dynamical systems. Exploiting Proper Orthogonal Decomposition (POD) as a dimensionality reduction technique, DMD is able to approximate a dynamical
Externí odkaz:
http://arxiv.org/abs/2110.09155