Basic unconstrained optimization algorithms
A Matlab implementation for basic unconstrained optimization algorithms
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'
引用格式
Ethem H. Orhan (2026). Basic unconstrained optimization algorithms (https://ww2.mathworks.cn/matlabcentral/fileexchange/87839-basic-unconstrained-optimization-algorithms), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.0 |
