Enhancing Dynamic-Mode Decomposition via Multi-Scale Analysis

Autor:	Curtis, Christopher W.
Rok vydání:	2020
Předmět:	Mathematics - Dynamical Systems
Druh dokumentu:	Working Paper
Popis:	Through the use of wavelet based Besov norms, we compute nontrivial multiscale nonlinear features of a given data set so as to enhance the standard Dynamic-Mode Decomposition algorithm. Thus we are able to build sophisticated observables which enhance algorithm performance without placing undue computational burdens on the user.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2001.02795 Zobrazit plný text záznamu View this record from Arxiv