Benchmarking optimization solvers.

Optimization algorithms written in Python and MATLAB

rosenbrock function optimization with four different methods (unconstrained optimization)

optimization techniques for data mining

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for unconstrained optimization models: Steepest-Descent, Newton method, Gauss-Newton, Conjugate Gradient method, Fibonacci search, Golden-section search, Dichotomous search and Exhaustive search.