Large-Neighborhood Infeasible Predictor–Corrector Algorithm for Horizontal Linear Complementarity Problems over Cartesian Product of Symmetric Cones-Reference-Cited by-同舟云学术

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Large-Neighborhood Infeasible Predictor–Corrector Algorithm for Horizontal Linear Complementarity Problems over Cartesian Product of Symmetric Cones

Published:2018-10-16 Issue:3 Volume:180 Page:811-829
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Asadi Soodabeh,Mansouri Hossein,Darvay Zsolt,Zangiabadi Maryam,Mahdavi-Amiri Nezam

Funder

Shahrekord University

Romanian Ministry of Research and Innovation, CNCS - UEFISCDI

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s10957-018-1402-6/fulltext.html

Reference29 articles.

1. Güler, O.: Barrier functions in interior point methods. Math. Oper. Res. 21, 860–885 (1996)

2. Nesterov, Y.E., Todd, M.J.: Self-scaled barriers and interior-point methods for convex programming. Math. Oper. Res. 22, 1–42 (1997)

3. Nesterov, Y.E., Todd, M.J.: Primal-dual interior-point methods for self-scaled cones. SIAM J. Optim. 8, 324–364 (1998)

4. Faybusovich, L.: Euclidean Jordan algebras and interior-point algorithm. Positivity 1, 331–357 (1997)

5. Zhang, Y.: On the convergence of a class of infeasible interior-point methods for the horizontal linear complementarity problem. SIAM J. Optim. 4, 208–227 (1994)

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