A BFGS trust-region method with a new nonmonotone technique for nonlinear equations

DOI10.1080/02331934.2013.840619zbMath1311.90145OpenAlexW2091978916MaRDI QIDQ5248215

Hua Wang, Chao Gu, Pu, Dingguo

Publication date: 28 April 2015

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2013.840619

zbMATH Keywords

global convergencenonlinear equationstrust region methodBFGS updatenonmonotone technique

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10)

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Cites Work

• A BFGS trust-region method for nonlinear equations
• A truncated Newton method with non-monotone line search for unconstrained optimization
• An affine scaling trust-region approach to bound-constrained nonlinear systems
• A nonmonotone trust-region line search method for large-scale unconstrained optimization
• A nonmonotone trust region method based on nonincreasing technique of weighted average of the successive function values
• The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
• The watchdog technique for forcing convergence in algorithms for constrained optimization
• Comparing Algorithms for Solving Sparse Nonlinear Systems of Equations
• An Efficient Implementation of Merrill’s Method for Sparse or Partially Separable Systems of Nonlinear Equations
• Trust Region Methods
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
• A Nonmonotone Line Search Technique for Newton’s Method
• An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds

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