A Path-Following Full Newton-Step Infeasible Interior-Point Algorithm for P∗(κ)-HLCPs Based on a Kernel Function
作者机构:Department of Applied MathematicsFaculty of Mathematical SciencesShahrekord UniversityP.O.Box 115ShahrekordIran
出 版 物:《Journal of the Operations Research Society of China》 (中国运筹学会会刊(英文))
年 卷 期:2016年第4卷第1期
页 面:77-96页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by Shahrekord Univeristy and also partially supported by the Center of Excellence for Mathematics, University of Shahrekord, Shahrekord, Iran
主 题:Horizontal linear complementarity problem Infeasible interior-point method Central path Kernel function
摘 要:In this paper,we present a path-following infeasible interior-point method for P∗(κ)horizontal linear complementarity problems(P∗(κ)-HLCPs).The algorithm is based on a simple kernel function for finding the search directions and defining the neighborhood of the central *** algorithm follows the central path related to some perturbations of the original problem,using the so-called feasibility and centering steps,along with only full such ***,it has the advantage that the calculation of the step sizes at each iteration is *** complexity result shows that the full-Newton step infeasible interior-point algorithm based on the simple kernel function enjoys the best-known iteration complexity for P∗(κ)-HLCPs.