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Georgia Southern University

Improved Full-Newton-Step Infeasible Interior-Point Method for Linear Complementarity Problems

Abstract

dc:description.abstract

<p>In this thesis, we present an improved version of Infeasible Interior-Point Method (IIPM) for monotone Linear Complementarity Problem (LCP). One of the most important advantages of this version in compare to old version is that it only requires feasibility steps. In the earlier version, each iteration consisted of one feasibility step and some centering steps (at most three in practice). The improved version guarantees that after one feasibility step, the new iterated point is feasible and close enough to central path. Thus, the centering steps are eliminated. This improvement is based on the Lemma(Roos, 2015). Thanks to this lemma, proximity of the new point after the feasibility step is guaranteed with a more strict upper bound. Another advantage of this method is that it uses full-Newton steps, which means that no calculation of the step size is required at each iteration and that the cost is decreased. The implementation and numerical results demonstrate the reliability of the method.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Mathematics (M.S.)
Level thesis:degree_level
Thesis (open access)
Discipline thesis:degree_discipline
Department of Mathematical Sciences
Year dc:date.available
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ozen, Mustafa
Contributors dc:contributor
  • Scott Kersey
  • Yan Wu

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.georgiasouthern.edu/etd/1296
OAI identifier oai:identifier
oai:digitalcommons.georgiasouthern.edu:etd-2362

Chain of custody

source
Harvested from
Georgia Southern University
Base URL
digitalcommons.georgiasouthern.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ozen, Mustafa. Improved Full-Newton-Step Infeasible Interior-Point Method for Linear Complementarity Problems. Thesis (open access) thesis, 2015. https://digitalcommons.georgiasouthern.edu/etd/1296