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In this paper we propose new primal-dual interior point meth- ods (IPMs) for P⁄(•) linear complementarity problems (LCPs) and an- alyze the iteration complexity of the algorithm. New search directions and proximity measures are defined based on a class of kernel functions, ˆ(t) = t 2 i1 2 i R t 1 e q 1 i1 d», q ‚ 1. If a strictly feasible starting point

NEW PRIMAL-DUAL INTERIOR POINT METHODS FOR P*(κ) LINEAR COMPLEMENTARITY PROBLEMS

NEW PRIMAL-DUAL INTERIOR POINT METHODS FOR P_*(κ) LINEAR COMPLEMENTARITY PROBLEMS