A customized inertial proximal alternating minimization for SVD-free robust principal component analysis-Reference-Cited by-同舟云学术

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A customized inertial proximal alternating minimization for SVD-free robust principal component analysis

Published:2023-06-30 Issue: Volume: Page:1-26
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Wang Qingsong¹,Han Deren¹,Zhang Wenxing²^ORCID

Affiliation:

1. LMIB of the Ministry of Education, School of Mathematical Sciences, Beihang University, Beijing, People's Republic of China

2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2023.2230975

Reference54 articles.

1. Robust principal component analysis?

2. Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem

3. A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty

4. Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm

5. Hybrid artificial intelligence and robust optimization for a multi-objective product portfolio problem Case study: The dairy products industry

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