An efficient adaptive scaling parameter for the spectral conjugate gradient method

DOI10.1007/s11590-015-0865-8zbMath1335.65056OpenAlexW2067092768MaRDI QIDQ5963695

Bin Dan, Yang Zhang

Publication date: 23 February 2016

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-015-0865-8

zbMATH Keywords

unconstrained optimizationglobal convergencenumerical experimentsnumerical stabilitydescent propertyscaling parameterspectral conjugate gradient method

Mathematics Subject Classification ID

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

Related Items (1)

Optimal scaling parameters for spectral conjugate gradient methods

Uses Software

• CUTEr
• CG_DESCENT
• SCALCG

Cites Work

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• Scaled conjugate gradient algorithms for unconstrained optimization
• The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
• Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization
• Algorithm 851
• Two-Point Step Size Gradient Methods
• Technical Note—A Modified Conjugate Gradient Algorithm
• Algorithm 500: Minimization of Unconstrained Multivariate Functions [E4]
• Restart procedures for the conjugate gradient method
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• CUTEr and SifDec
• A descent family of Dai–Liao conjugate gradient methods
• New conjugacy conditions and related nonlinear conjugate gradient methods
• A spectral conjugate gradient method for unconstrained optimization
• Benchmarking optimization software with performance profiles.

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