Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications-Reference-Cited by-同舟云学术

Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications

Published:2023-11-06 Issue:4 Volume:33 Page:2988-3011
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Wang Shiwei¹,Ding Chao²,Zhang Yangjing³,Zhao Xinyuan⁴^ORCID

Affiliation:

1. School of Mathematical Sciences, University of Chinese Academy of Science, Beijing, People’s Republic of China and Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People’s Republic of China.

2. Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People’s Republic of China and School of Mathematical Sciences, University of Chinese Academy of Science, Beijing, People’s Republic of China.

3. Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People’s Republic of China.

4. Department of Mathematics, Beijing University of Technology, Beijing, People’s Republic of China.

Funder

Young Scientists Fund

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software,Applied Mathematics

Reference46 articles.

1. On Projection Algorithms for Solving Convex Feasibility Problems

2. Strong conical hull intersection property, bounded linear regularity, Jameson's property (G), and error bounds in convex optimization

3. Perturbation analysis of second-order cone programming problems

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