On the use of function-values in unconstrained optimisation
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Publication:1262703
DOI10.1016/0377-0427(89)90331-2zbMath0686.65031OpenAlexW2071623988MaRDI QIDQ1262703
Publication date: 1989
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(89)90331-2
unconstrained optimizationnumerical experimentsBFGS methodquasi-Newton methodsfunction valuesDFP methodHoshino method
Related Items (7)
Multi-step quasi-Newton methods for optimization ⋮ Numerical experience with multiple update quasi-Newton methods for unconstrained optimization ⋮ Using function-values in multi-step quasi-Newton methods ⋮ Extra multistep BFGS updates in quasi-Newton methods ⋮ A rational gradient model for minimization ⋮ A nonlinear model for function-value multistep methods ⋮ On the use of curvature estimates in quasi-Newton methods
Uses Software
Cites Work
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- 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
- Modified Damped Least Squares: An Algorithm for Non-linear Estimation
- A Formulation of Variable Metric Methods
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