On Local Minimizers of Nonconvex Homogeneous Quadratically Constrained Quadratic Optimization with at Most Two Constraints-Reference-Cited by-同舟云学术

On Local Minimizers of Nonconvex Homogeneous Quadratically Constrained Quadratic Optimization with at Most Two Constraints

Published:2023-03-31 Issue:1 Volume:33 Page:267-293
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Song Mengmeng¹,Liu Hongying¹,Wang Jiulin¹^ORCID,Xia Yong²

Affiliation:

1. LMIB of the Ministry of Education, School of Mathematical Sciences, Beihang University, Beijing 100191, People’s Republic of China.

2. Corresponding author. LMIB of the Ministry of Education, School of Mathematical Sciences, Beihang University, Beijing 100191, People’s Republic of China.

Funder

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

Reference42 articles.

1. Eigenvalue-based algorithm and analysis for nonconvex QCQP with one constraint

2. Strong Duality for the CDT Subproblem: A Necessary and Sufficient Condition

3. On the Solution of the GPS Localization and Circle Fitting Problems

4. Finding a Global Optimal Solution for a Quadratically Constrained Fractional Quadratic Problem with Applications to the Regularized Total Least Squares

5. A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints

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