A Neural Network Approach for Solving Weighted Nonlinear Complementarity Problems

DOI10.1080/01630563.2024.2405469MaRDI QIDQ6633873

Shui-Lian Xie, Zhen-Ping Yang, Hong-Ru Xu

Publication date: 6 November 2024

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical computation of solutions to systems of equations (65H10) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)

Cites Work

• Title not available (Why is that?)
• A smoothing Newton algorithm for weighted linear complementarity problem
• Sufficient weighted complementarity problems
• ``Neural computation of decisions in optimization problems
• A semismooth equation approach to the solution of nonlinear complementarity problems
• A neural network for the linear complementarity problem
• On the global exponential stability of a projected dynamical system for strongly pseudomonotone variational inequalities
• A variant nonmonotone smoothing algorithm with improved numerical results for large-scale LWCPS
• Quadratic convergence analysis of a nonmonotone Levenberg-Marquardt type method for the weighted nonlinear complementarity problem
• A nonmonotone smoothing Newton algorithm for weighted complementarity problem
• A new smoothing-type algorithm for nonlinear weighted complementarity problem
• Neural network approaches based on new NCP-functions for solving tensor complementarity problem
• A full-Newton step interior-point method for monotone weighted linear complementarity problems
• A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems
• A nonsmooth version of Newton's method
• Smoothing functions for second-order-cone complementarity problems
• Some Noninterior Continuation Methods for Linear Complementarity Problems
• Weighted Complementarity Problems---A New Paradigm for Computing Equilibria
• A modified damped Gauss–Newton method for non-monotone weighted linear complementarity problems
• Mathematical control theory: an introduction
• Solving nonlinear complementarity problems with neural networks: A reformulation method approach

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