An approximate gradient-type method for nonlinear symmetric equations with convex constraints

DOI10.1016/J.CAM.2023.115259MaRDI QIDQ6137785

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Publication date: 4 September 2023

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

global convergenceconjugate gradient methodprojection methodR-linear convergence ratesymmetric equations

Mathematics Subject Classification ID

Nonlinear algebraic or transcendental equations (65Hxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx)

Cites Work

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• Norm descent conjugate gradient methods for solving symmetric nonlinear equations
• A modified Fletcher-Reeves-type derivative-free method for symmetric nonlinear equations
• A hybrid projection method for generalized mixed equilibrium problems and fixed point problems in Banach spaces
• Some three-term conjugate gradient methods with the inexact line search condition
• A norm descent derivative-free algorithm for solving large-scale nonlinear symmetric equations
• BFGS trust-region method for symmetric nonlinear equations
• A new backtracking inexact BFGS method for symmetric nonlinear equations
• On variable-step relaxed projection algorithm for variational inequalities
• New three-term conjugate gradient method with guaranteed global convergence
• Self-adaptive projection methods for the multiple-sets split feasibility problem
• The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
• A Globally and Superlinearly Convergent Gauss--Newton-Based BFGS Method for Symmetric Nonlinear Equations
• A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
• An Inexact PRP Conjugate Gradient Method for Symmetric Nonlinear Equations
• Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
• The Gradient Projection Method for Nonlinear Programming. Part II. Nonlinear Constraints
• Benchmarking optimization software with performance profiles.

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