A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports

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Publication Details

Journal
SIAM Journal on Scientific Computing
Published
2025-03-04
DOI
https://doi.org/10.1137/24m164392x
Citations
3
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
3.97

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article

A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports

Philipp Krah, Julius Reiß, Kai Schneider, Arthur Marmin et al.
3 citations
SIAM Journal on Scientific Computing
Model Reduction and Neural Networks
3.97
article

A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports

Philipp Krah, Julius Reiß, Kai Schneider, Arthur Marmin, Beata Zorawski
article en
3 citations

Abstract

No abstract available for this paper.
SIAM Journal on Scientific ComputingVol. 47(2)
Centre National de la Recherche Scientifique (FR), Engineering Acoustics (United States) (US), Institut de Mathématiques de Marseille (FR), Institut Polytechnique de Bordeaux (FR)
Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche
Sustainable cities and communities
Openalex Percentile: Top 8%
Model Reduction and Neural Networks
3.97
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A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports — Philipp Krah, Julius Reiß, et al. · SIAM Journal on Scientific Computing (2025) | TGRS Research Map | TGRS