Approximating Tensor Norms via Sphere Covering: Bridging the Gap between Primal and Dual-Reference-Cited by-同舟云学术

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Approximating Tensor Norms via Sphere Covering: Bridging the Gap between Primal and Dual

Published:2023-08-08 Issue:3 Volume:33 Page:2062-2088
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

He Simai¹,Hu Haodong²,Jiang Bo¹^ORCID,Li Zhening³

Affiliation:

1. Research Institute for Interdisciplinary Sciences, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China.

2. Department of Computer Science and Technology, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China.

3. School of Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HF, United Kingdom.

Funder

National Natural Science Foundation of China

Shanghai University of Finance and Economics

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software,Applied Mathematics

Reference33 articles.

1. The Art of Mathematics

2. Covering the Sphere by Equal Spherical Balls

3. Maximum Block Improvement and Polynomial Optimization

4. On the tensor spectral p-norm and its dual norm via partitions

5. A Finite Algorithm to Compute Rank-1 Tensor Approximations

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