An interior point method for $$P_{*}(\kappa )$$-horizontal linear complementarity problem based on a new proximity function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s12190-019-01284-9.pdf
Reference23 articles.
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3. Asadi, S., Zangiabadi, M., Mansouri, H.: An infeasible interior-point algorithm with full-Newton steps for $$P_*(\kappa )$$-horizontal linear complementarity problems based on a kernel function. J. Appl. Math. Comput. 50(1), 15–37 (2016)
4. Bai, Y.Q., El Ghami, M., Roos, C.: A comparative study of kernel functions for primal-dual interior-point algorithms in linear optimization. SIAM J. Optim. 15(1), 101–128 (2004)
5. Bouafia, M., Benterki, D., Yassine, A.: An efficient primal-dual interior point method for linear programming problems based on a new kernel function with a trigonometric barrier term. J. Optim. Theory Appl. 170(2), 528–545 (2016)
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2. An efficient multi parametric kernel function for large and small-update methods interior point algorithm for P*(κ)-horizontal linear complementarity problem;RAIRO - Operations Research;2023-05
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