Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data
Author:
Affiliation:
1. Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 USA.
Funder
National Science Foundation
U.S. Department of Energy
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Computational Mathematics
Reference59 articles.
1. Approximation of Large-Scale Dynamical Systems
2. On the Scalar Rational Interpolation Problem
3. Model Reduction of Bilinear Systems in the Loewner Framework
4. Missing Point Estimation in Models Described by Proper Orthogonal Decomposition
5. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
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