A rational gradient model for minimization

DOI10.1016/0377-0427(92)90204-BzbMath0756.65093OpenAlexW1972027721MaRDI QIDQ1196831

Adel F. Saadallah

Publication date: 16 January 1993

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(92)90204-b

zbMATH Keywords

performanceunconstrained minimizationNumerical experimentsnumerical algorithmQuasi-Newton methods

Mathematics Subject Classification ID

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

Related Items

A quasi-Newton method using a nonquadratic model

Uses Software

• Algorithm 500
• minpack

Cites Work

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• On the construction of minimization methods of quasi-Newton type
• On the use of function-values in unconstrained optimisation
• Unified approach to quadratically convergent algorithms for function minimization
• A Note on Minimization Algorithms which make Use of Non-quardratic Properties of the Objective Function
• Testing Unconstrained Optimization Software
• Algorithm 500: Minimization of Unconstrained Multivariate Functions [E4]
• A Rapidly Convergent Descent Method for Minimization
• A Comparison of Several Current Optimization Methods, and the use of Transformations in Constrained Problems
• Quasi-Newton Methods and their Application to Function Minimisation
• A Family of Variable-Metric Methods Derived by Variational Means
• A new approach to variable metric algorithms
• Conditioning of Quasi-Newton Methods for Function Minimization
• Minimization Algorithms Making Use of Non-quadratic Properties of the Objective Function