In this paper, a weighted-path-following interior point algorithm for -linear complementarity problems (-LCP) is presented. The algorithm uses at each weighted interior point iteration only feasible full-Newton steps and the strategy of the central-path for getting a solution for -LCP. We prove that the proposed algorithm has quadratically convergent with polynomial time. The complexity bound, namely, of the algorithm is obtained. Few numerical tests are reported to show the efficiency of the algorithm.
Accepté le :
DOI : 10.1051/ro/2015020
Mots-clés : Linear complementarity problems, P∗(κ)-matrix, weighted-path-following, interior-point methods, polynomial complexity
@article{RO_2016__50_1_131_0, author = {Achache, Mohamed}, title = {Complexity analysis of a {weighted-full-Newton} step interior-point algorithm for $P_{\ast{}}(\kappa{})${-LCP}}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {131--143}, publisher = {EDP-Sciences}, volume = {50}, number = {1}, year = {2016}, doi = {10.1051/ro/2015020}, zbl = {1333.90132}, mrnumber = {3460667}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/ro/2015020/} }
TY - JOUR AU - Achache, Mohamed TI - Complexity analysis of a weighted-full-Newton step interior-point algorithm for $P_{\ast{}}(\kappa{})$-LCP JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2016 SP - 131 EP - 143 VL - 50 IS - 1 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2015020/ DO - 10.1051/ro/2015020 LA - en ID - RO_2016__50_1_131_0 ER -
%0 Journal Article %A Achache, Mohamed %T Complexity analysis of a weighted-full-Newton step interior-point algorithm for $P_{\ast{}}(\kappa{})$-LCP %J RAIRO - Operations Research - Recherche Opérationnelle %D 2016 %P 131-143 %V 50 %N 1 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2015020/ %R 10.1051/ro/2015020 %G en %F RO_2016__50_1_131_0
Achache, Mohamed. Complexity analysis of a weighted-full-Newton step interior-point algorithm for $P_{\ast{}}(\kappa{})$-LCP. RAIRO - Operations Research - Recherche Opérationnelle, Tome 50 (2016) no. 1, pp. 131-143. doi : 10.1051/ro/2015020. http://archive.numdam.org/articles/10.1051/ro/2015020/
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