Smoothing Methods for Nonlinear Complementarity Problems
Mounir Haddou, Patrick Maheux

TL;DR
This paper introduces a new smoothing method for solving nonlinear complementarity problems, providing theoretical convergence results and demonstrating efficiency through numerical tests.
Contribution
The paper presents a novel smoothing approach with proven convergence and error estimates for nonlinear complementarity problems under general conditions.
Findings
Proven convergence under $P_0$ condition.
Established error estimates with new monotonicity conditions.
Numerical tests confirm method efficiency.
Abstract
In this paper, we present a new smoothing approach to solve general nonlinear complementarity problems. Under the condition on the original problems, we prove some existence and convergence results . We also present an error estimate under a new and general monotonicity condition. The numerical tests confirm the efficiency of our proposed methods.
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Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Matrix Theory and Algorithms
