A global QP-free algorithm for mathematical programs with complementarity constraints

Abstract In this paper, a primal–dual interior point QP-free algorithm for mathematical programs with complementarity constraints is presented. Firstly, based on Fischer–Burmeister function and smoothing techniques, the investigated problem is approximated by a smooth nonlinear constrained optimizat...

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Päätekijät: Jian Ling Li, Qi Zhang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: SpringerOpen 2020-08-01
Sarja:Journal of Inequalities and Applications
Aiheet:
Linkit:http://link.springer.com/article/10.1186/s13660-020-02479-6
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author Jian Ling Li
Qi Zhang
author_facet Jian Ling Li
Qi Zhang
author_sort Jian Ling Li
collection DOAJ
description Abstract In this paper, a primal–dual interior point QP-free algorithm for mathematical programs with complementarity constraints is presented. Firstly, based on Fischer–Burmeister function and smoothing techniques, the investigated problem is approximated by a smooth nonlinear constrained optimization problem. Secondly, combining with an effective penalty function technique and working set, a QP-free algorithm is proposed to solve the smooth constrained optimization problem. At each iteration, only two reduced linear equations with the same coefficient matrix are solved to obtain the search direction. Under some mild conditions, the proposed algorithm possesses global convergence. Finally, some numerical results are reported.
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spelling doaj.art-d24a061d8d96453a977a48cfa1cc4c8a2022-12-21T18:16:48ZengSpringerOpenJournal of Inequalities and Applications1029-242X2020-08-012020112410.1186/s13660-020-02479-6A global QP-free algorithm for mathematical programs with complementarity constraintsJian Ling Li0Qi Zhang1College of Mathematics and Information Science, Guangxi UniversityCollege of Mathematics and Information Science, Guangxi UniversityAbstract In this paper, a primal–dual interior point QP-free algorithm for mathematical programs with complementarity constraints is presented. Firstly, based on Fischer–Burmeister function and smoothing techniques, the investigated problem is approximated by a smooth nonlinear constrained optimization problem. Secondly, combining with an effective penalty function technique and working set, a QP-free algorithm is proposed to solve the smooth constrained optimization problem. At each iteration, only two reduced linear equations with the same coefficient matrix are solved to obtain the search direction. Under some mild conditions, the proposed algorithm possesses global convergence. Finally, some numerical results are reported.http://link.springer.com/article/10.1186/s13660-020-02479-6Complementarity constraintsWorking setQP-free algorithmGlobal convergence
spellingShingle Jian Ling Li
Qi Zhang
A global QP-free algorithm for mathematical programs with complementarity constraints
Journal of Inequalities and Applications
Complementarity constraints
Working set
QP-free algorithm
Global convergence
title A global QP-free algorithm for mathematical programs with complementarity constraints
title_full A global QP-free algorithm for mathematical programs with complementarity constraints
title_fullStr A global QP-free algorithm for mathematical programs with complementarity constraints
title_full_unstemmed A global QP-free algorithm for mathematical programs with complementarity constraints
title_short A global QP-free algorithm for mathematical programs with complementarity constraints
title_sort global qp free algorithm for mathematical programs with complementarity constraints
topic Complementarity constraints
Working set
QP-free algorithm
Global convergence
url http://link.springer.com/article/10.1186/s13660-020-02479-6
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AT qizhang globalqpfreealgorithmformathematicalprogramswithcomplementarityconstraints