A smoothing self-adaptive Levenberg-Marquardt algorithm for solving system of nonlinear inequalities
type: Item
instance of: scholarly article
title: A smoothing self-adaptive Levenberg-Marquardt algorithm for solving system of nonlinear inequalities
zbMATH Open document ID: 1195.65078
author: Chan He
author: Changfeng Ma
published in: Applied Mathematics and Computation
publication date: 2010-07-19T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C05
zbMATH DE Number: 5757568
zbMATH Keywords: smoothing self-adaptive Levenberg-Marquardt algorithm
zbMATH Keywords: global convergence
zbMATH Keywords: local quadratic convergence
zbMATH Keywords: system of nonlinear inequalities
zbMATH Keywords: error bound
zbMATH Keywords: numerical results
MaRDI profile type: Publication
full work available at URL: j.amc.2010.04.025
OpenAlex ID: W1996216021
cites work: The global linear convergence of a noninterior path-following algorithm for linear complementarity problems
cites work: A Global and Local Superlinear Continuation-Smoothing Method forP0andR0NCP or Monotone NCP
cites work: On Homotopy-Smoothing Methods for Box-Constrained Variational Inequalities
cites work: Non-interior continuation methods for solving semidefinite complementarity problems
cites work: A smoothing trust-region Newton-CG method for minimax problem
cites work: Newton's method for nonlinear inequalities
cites work: Solving nonlinear inequalities in a finite number of iterations
cites work: On the solution of nonlinear inequalities in a finite number of iterations
cites work: A method for the solution of certain non-linear problems in least squares
cites work: An Algorithm for Least-Squares Estimation of Nonlinear Parameters
cites work: Q4148902
cites work: Q4538036
cites work: Some research on Levenberg-Marquardt method for the nonlinear equations
cites work: A globally convergent Levenberg-Marquardt method for solving nonlinear complementarity problem
cites work: The quadratic convergence of a smoothing Levenberg-Marquardt method for nonlinear complementarity problem
cites work: A globally convergent Levenberg-Marquardt method for the least \(l_2\)-norm solution of nonlinear inequalities
cites work: Q4411108
cites work: Q2765625
cites work: On the quadratic convergence of the Levenberg-Marquardt method without nonsingularity assumption
cites work: A smoothing Newton-type algorithm of stronger convergence for the quadratically constrained convex quadratic programming
cites work: A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities
DOI: 10.1016/J.AMC.2010.04.025
description: scientific article; zbMATH DE number 5757568