A dimension-reducing method for unconstrained optimization

DOI10.1016/0377-0427(95)00174-3zbMath0856.65074OpenAlexW2078768543MaRDI QIDQ1919374

Michael N. Vrahatis, T. N. Grapsa

Publication date: 11 February 1997

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

Full work available at URL: https://doi.org/10.1016/0377-0427(95)00174-3

zbMATH Keywords

unconstrained optimizationcomparison of methodsconjugate gradient methodvariable metric methodsdimension-reducing numerical method

Mathematics Subject Classification ID

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

Related Items

Convergence of line search methods for unconstrained optimization, Locating, characterizing and computing the stationary points of a function, A class of gradient unconstrained minimization algorithms with adaptive stepsize, Improved Newton's method without direct function evaluations, A modified Newton direction for unconstrained optimization

Uses Software

• CHABIS
• minpack

Cites Work

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