Basic unconstrained optimization algorithms

Versione 1.0.0 (6,94 KB) da Ethem H. Orhan
A Matlab implementation for basic unconstrained optimization algorithms
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Aggiornato 25 feb 2021

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A Matlab implementation for basic unconstrained optimization algorithms as defined in 'Linear and nonlinear programming by Luenberger and Ye'. The package includes Steepest Descent, Newtons, Fletcher-Reeves and Davidon–Fletcher–Powell algorithms with Fibonacci, Dichotomous, Interval Halving, Newtons and Quadratic line search methods.
To test the methods: Run 'scr_optim.m'

Cita come

Ethem H. Orhan (2026). Basic unconstrained optimization algorithms (https://it.mathworks.com/matlabcentral/fileexchange/87839-basic-unconstrained-optimization-algorithms), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2018a
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Versione Pubblicato Note della release
1.0.0