A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems

In this paper we generalize an infeasible interior-point method for linear optimization to horizontal linear complementarity problem (HLCP). This algorithm starts from strictly feasible iterates on the central path of a perturbed problem that is produced by suitable perturbation in HLCP pro...

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Main Authors: Asadi S., Mansouri H.
Format: Article
Language:English
Published: University of Belgrade 2015-01-01
Series:Yugoslav Journal of Operations Research
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-0243/2015/0354-02431300034A.pdf
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author Asadi S.
Mansouri H.
author_facet Asadi S.
Mansouri H.
author_sort Asadi S.
collection DOAJ
description In this paper we generalize an infeasible interior-point method for linear optimization to horizontal linear complementarity problem (HLCP). This algorithm starts from strictly feasible iterates on the central path of a perturbed problem that is produced by suitable perturbation in HLCP problem. Then, we use so-called feasibility steps that serves to generate strictly feasible iterates for the next perturbed problem. After accomplishing a few centering steps for the new perturbed problem, we obtain strictly feasible iterates close enough to the central path of the new perturbed problem. The complexity of the algorithm coincides with the best known iteration complexity for infeasible interior-point methods.
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spelling doaj.art-da5f5a64d846404a8127229c11652f2f2022-12-22T00:44:32ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02432334-60432015-01-01251577210.2298/YJOR130515034A0354-02431300034AA Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problemsAsadi S.0Mansouri H.1Shahrekord University, Faculty of Mathematical Sciences, Department of Applied Mathematics, Shahrekord, IranShahrekord University, Faculty of Mathematical Sciences, Department of Applied Mathematics, Shahrekord, IranIn this paper we generalize an infeasible interior-point method for linear optimization to horizontal linear complementarity problem (HLCP). This algorithm starts from strictly feasible iterates on the central path of a perturbed problem that is produced by suitable perturbation in HLCP problem. Then, we use so-called feasibility steps that serves to generate strictly feasible iterates for the next perturbed problem. After accomplishing a few centering steps for the new perturbed problem, we obtain strictly feasible iterates close enough to the central path of the new perturbed problem. The complexity of the algorithm coincides with the best known iteration complexity for infeasible interior-point methods.http://www.doiserbia.nb.rs/img/doi/0354-0243/2015/0354-02431300034A.pdfhorizontal linear complementarity problem (HLCP)infeasible-interior point methodcentral path
spellingShingle Asadi S.
Mansouri H.
A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems
Yugoslav Journal of Operations Research
horizontal linear complementarity problem (HLCP)
infeasible-interior point method
central path
title A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems
title_full A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems
title_fullStr A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems
title_full_unstemmed A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems
title_short A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems
title_sort full newton step infeasible interior point algorithm for p k horizontal linear complementarity problems
topic horizontal linear complementarity problem (HLCP)
infeasible-interior point method
central path
url http://www.doiserbia.nb.rs/img/doi/0354-0243/2015/0354-02431300034A.pdf
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