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Volume 2, Issue 1, 30 April 2020, Pages 95-107
Abstract. In this paper, we propose a new modified logarithmic-quadratic proximal method for solving the nonlinear complementarity problem. An easily measurable error term is proposed with further relaxed error bound and a new step length is employed to reach substantial progress in each iteration. Preliminary numerical experiments are included to illustrate the advantage and efficiency of the proposed method.
How to Cite this Article:
Abdellah Bnouhachem, Xiaolong Qin, An improvement LQP method for nonlinear complementarity problems, Appl. Set-Valued Anal. Optim. 2 (2020), 95-107.