Basic unconstrained optimization algorithms
A Matlab implementation for basic unconstrained optimization algorithms
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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'
Cite As
Ethem H. Orhan (2026). Basic unconstrained optimization algorithms (https://se.mathworks.com/matlabcentral/fileexchange/87839-basic-unconstrained-optimization-algorithms), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (6.94 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
