Basic unconstrained optimization algorithms

Version 1.0.0 (6.94 KB) by Ethem H. Orhan
A Matlab implementation for basic unconstrained optimization algorithms
4.0
(1)
170 Downloads
Updated 25 Feb 2021

View License

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'

Cite As

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

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Tags Add Tags

Version Published Release Notes
1.0.0