A derivative-free conjugate residual method using secant condition for general large-scale nonlinear equations

DOI10.1007/s11075-019-00725-7zbMath1441.90160OpenAlexW2946633498WikidataQ127881101 ScholiaQ127881101MaRDI QIDQ2173330

Li Zhang

Publication date: 22 April 2020

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-019-00725-7

zbMATH Keywords

convergencenonlinear equationsconjugate residual

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Related Items (8)

A Five-Parameter Class of Derivative-Free Spectral Conjugate Gradient Methods for Systems of Large-Scale Nonlinear Monotone Equations ⋮ Some modified Hestenes-Stiefel conjugate gradient algorithms with application in image restoration ⋮ A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems ⋮ Global convergence of a modified two-parameter scaled BFGS method with Yuan-Wei-Lu line search for unconstrained optimization ⋮ A class of new derivative-free gradient type methods for large-scale nonlinear systems of monotone equations ⋮ A globally convergent BFGS method for symmetric nonlinear equations ⋮ A class of line search-type methods for nonsmooth convex regularized minimization ⋮ Globally convergent diagonal Polak-Ribière-Polyak like algorithm for nonlinear equations

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