An Optimized Dynamic Mode Decomposition Model Robust to Multiplicative Noise
Author:
Affiliation:
1. Department of Mechanical Engineering, Hanbat National University, Daejeon, 34158, Korea.
2. Natural Science Research Institute, KAIST, Daejeon, 34141, Korea.
Funder
National Research Foundation of Korea
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Modeling and Simulation,Analysis
Reference60 articles.
1. Variable Projection Methods for an Optimized Dynamic Mode Decomposition
2. Robust and Scalable Methods for the Dynamic Mode Decomposition
3. A Variational Approach to Removing Multiplicative Noise
4. On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes
5. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
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