Data-Driven Identification of Parametric Partial Differential Equations-Reference-Cited by-同舟云学术

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Data-Driven Identification of Parametric Partial Differential Equations

Published:2019-01 Issue:2 Volume:18 Page:643-660
ISSN:1536-0040
Container-title:SIAM Journal on Applied Dynamical Systems
language:en
Short-container-title:SIAM J. Appl. Dyn. Syst.

Author:

Rudy Samuel,Alla Alessandro,Brunton Steven L.,Kutz J. Nathan

Funder

Defense Advanced Research Projects Agency

Air Force Office of Scientific Research

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Modeling and Simulation,Analysis

Link

https://epubs.siam.org/doi/pdf/10.1137/18M1191944

Reference42 articles.

1. A new look at the statistical model identification

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

3. Variable Projection Methods for an Optimized Dynamic Mode Decomposition

4. A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

5. Automated reverse engineering of nonlinear dynamical systems

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