A modified infeasible interior-point algorithm with full-Newton step for semidefinite optimization-Reference-Cited by-同舟云学术

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A modified infeasible interior-point algorithm with full-Newton step for semidefinite optimization

Published:2018-11-15 Issue:10 Volume:96 Page:1979-1992
ISSN:0020-7160
Container-title:International Journal of Computer Mathematics
language:en
Short-container-title:International Journal of Computer Mathematics

Author:

Wang Weiwei¹²,Liu Hongwei¹,Bi Hongmei³

Affiliation:

1. School of Mathematics and Statistics, Xidian University, Xi'an, People's Republic of China

2. School of Science, Xi'an Technological University, Xi'an, People's Republic of China

3. School of Science, Air Force Engineering University, Xi'an, People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Basis Research Plan in Shaanxi Province of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207160.2018.1545088

Reference32 articles.

1. Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization

2. Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results

3. A New Efficient Large-Update Primal-Dual Interior-Point Method Based on a Finite Barrier

4. Linear Matrix Inequalities in System and Control Theory

5. Aspects of Semidefinite Programming

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An arc-search infeasible interior-point method for semidefinite optimization with the negative infinity neighborhood;Numerical Algorithms;2020-10-29

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