Convergence of conjugate gradient methods with constant stepsizes

DOI10.1080/10556781003721042zbMath1227.49040OpenAlexW2050163982MaRDI QIDQ3096886

Yu-Hong Dai

Publication date: 15 November 2011

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556781003721042

zbMATH Keywords

unconstrained optimizationglobal convergenceconjugate gradient methodnonconvexdescent propertymethod of shortest residuals

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

Related Items (3)

Computational efficiency of the simplex embedding method in convex nondifferentiable optimization ⋮ Method of conjugate subgradients with constrained memory ⋮ Global optimization through a stochastic perturbation of the Polak-Ribière conjugate gradient method

Cites Work

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• Restart procedures for the conjugate gradient method
• On the convergence of conjugate gradient algorithms
• Convergence Properties of Nonlinear Conjugate Gradient Methods
• Convergence properties of the Fletcher-Reeves method
• Function minimization by conjugate gradients
• The conjugate gradient method in extremal problems
• Global convergence of conjugate gradient methods without line search

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