This project implements a Single Layer Neural Network (SLNN) from scratch using Matlab. It focuses on the theoretical application and practical comparison of unconstrained optimization algorithms ...

Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...

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