A full-Newton step feasible interior-point algorithm for P*(k)-linear complementarity problems
Access Status
Fulltext not available
Authors
Wang, G.
Yu, Changjun
Teo, Kok Lay
Date
2013Type
Journal Article
Metadata
Show full item recordCitation
Wang, G.Q. and Yu, C.J. and Teo, K.L. 2013. A full-Newton step feasible interior-point algorithm for P*(k)-linear complementarity problems. Journal of Global Optimization. 59 (1): pp. 81-99.
Source Title
Journal of Global Optimization
ISSN
Collection
Abstract
In this paper, a full-Newton step feasible interior-point algorithm is proposed for solving P*(κ) -linear complementarity problems. We prove that the full-Newton step to the central path is local quadratically convergent and the proposed algorithm has polynomial iteration complexity, namely, O ((1+4κ) √nlogn/ε), which matches the currently best known iteration bound for P*(κ)-linear complementarity problems. Some preliminary numerical results are provided to demonstrate the computational performance of the proposed algorithm.
Related items
Showing items related by title, author, creator and subject.
-
Zhang, M.; Sun, Jie ; Xu, Honglei (2019)A model of a two-stage N-person noncooperative game under uncertainty is studied, in which at the first stage each player solves a quadratic program parameterized by other players’ decisions and then at the second stage ...
-
Vimonsatit, Vanissorn; Tin-Loi, F. (2011)A very significant problem in an analysis of engineering structures is when displacements become exceedingly large. After deformation, and in addition to the well known geometric effects, a structure may remain elastic ...
-
Kong, L.; Sun, Jie; Xiu, N. (2008)This paper extends the regularized smoothing Newton method in vector complementarity problems to symmetric cone complementarity problems (SCCP), which includes the nonlinear complementarity problem, the second-order cone ...