An upper bound on the minimum rank of a symmetric Toeplitz matrix completion problem-Reference-Cited by-同舟云学术

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An upper bound on the minimum rank of a symmetric Toeplitz matrix completion problem

Published:2022-04-11 Issue: Volume: Page:1-16
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Xu Yi¹²,Yan Xihong³,Guo Jiahao³,Ma Cheng⁴

Affiliation:

1. Institute of Mathematics, Southeast University, Nanjing, Jiangsu Province, People's Republic of China

2. Nanjing Center for Applied Mathematics, Nanjing, Jiangsu Province, People's Republic of China

3. Department of Mathematics, Taiyuan Normal University, Jinzhong, Shanxi Province, People's Republic of China

4. School of Business, Qingdao University, Qingdao, Shandong Province, People's Republic of China

Funder

National Natural Science Foundation of China

NSF of Shanxi Province

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2022.2060828

Reference37 articles.

1. Argyriou A, Evgeniou T, Pontil M. Multi-task feature learning. In: Advances in Neural Information Processing Systems; Vol. 19, 2007. p. 41–48. Vancouver, British Columbia, Canada.

2. Exact Matrix Completion via Convex Optimization

3. Robust Spectral Compressed Sensing via Structured Matrix Completion

4. Hankel Matrix Rank Minimization with Applications to System Identification and Realization

5. Interior-Point Method for Nuclear Norm Approximation with Application to System Identification

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