Some New Convergence Analysis and Applications of POD-Greedy Algorithms

Fuente: arXiv
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Hauptverfasser: Li, Yuwen, Wang, Yupeng
Format: Preprint
Veröffentlicht: 2024
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author Li, Yuwen
Wang, Yupeng
author_facet Li, Yuwen
Wang, Yupeng
contents In this article, we derive a novel convergence estimate for the weak POD-Greedy method with multiple POD modes and variable greedy thresholds in terms of the entropy numbers of the parametric solution manifold. Combining the POD with the Empirical Interpolation Method (EIM), we also propose an EIM-POD-Greedy method with entropy-based convergence analysis for simultaneously approximating parametrized target functions by separable approximants. Several numerical experiments are presented to demonstrate the effectiveness of the proposed algorithm compared to traditional methods.
format Preprint
id arxiv_https___arxiv_org_abs_2407_09933
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Some New Convergence Analysis and Applications of POD-Greedy Algorithms
Li, Yuwen
Wang, Yupeng
Numerical Analysis
In this article, we derive a novel convergence estimate for the weak POD-Greedy method with multiple POD modes and variable greedy thresholds in terms of the entropy numbers of the parametric solution manifold. Combining the POD with the Empirical Interpolation Method (EIM), we also propose an EIM-POD-Greedy method with entropy-based convergence analysis for simultaneously approximating parametrized target functions by separable approximants. Several numerical experiments are presented to demonstrate the effectiveness of the proposed algorithm compared to traditional methods.
title Some New Convergence Analysis and Applications of POD-Greedy Algorithms
topic Numerical Analysis
url https://arxiv.org/abs/2407.09933