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作者机构:Univ Ferhat Abbas Setif1 Lab Math Fondament & Numer Setif Algeria Univ Ferhat Abbas Setif1 Fac Sci Dept Math Setif Algeria
出 版 物:《AFRIKA MATEMATIKA》 (Afr. Mat.)
年 卷 期:2015年第26卷第1-2期
页 面:139-151页
主 题:Linear complementarity problems Interior point methods Short-step primal-dual algorithms Complexity of algorithms
摘 要:In this paper, we propose a weighted short-step primal-dual interior point algorithm for solving monotone linear complementarity problem (LCP). The algorithm uses at each interior point iteration a full-Newton step and the strategy of the central path to obtain an epsilon-approximate solution of LCP. This algorithm yields the best currently well-known theoretical complexity iteration bound, namely, O(root n log n/epsilon) which is as good as the bound for the linear optimization analogue. The implementation of the algorithm and the algorithm in Wang et al. (Fuzzy Inform Eng 54:479-487, 2009) is done followed by a comparison between these two obtained numerical results.