Centering Data Improves the Dynamic Mode Decomposition-Reference-Cited by-同舟云学术

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Centering Data Improves the Dynamic Mode Decomposition

Published:2020-01 Issue:3 Volume:19 Page:1920-1955
ISSN:1536-0040
Container-title:SIAM Journal on Applied Dynamical Systems
language:en
Short-container-title:SIAM J. Appl. Dyn. Syst.

Author:

Hirsh Seth M.,Harris Kameron Decker^ORCID,Kutz J. Nathan,Brunton Bingni W.

Funder

Alfred P. Sloan Foundation

Air Force Office of Scientific Research

Air Force Research Laboratory

National Science Foundation

Washington Research Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Modelling and Simulation,Analysis

Link

https://epubs.siam.org/doi/pdf/10.1137/19M1289881

Reference46 articles.

1. Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator

2. The principle of minimized iterations in the solution of the matrix eigenvalue problem

3. Variable Projection Methods for an Optimized Dynamic Mode Decomposition

4. Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition

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