Nelder–Mead method

The Nelder-Mead method, also known as the simplex method, is a popular iterative optimization technique used to find the minimum or maximum of a function in an n-dimensional space. It is particularly suited for optimizing functions that are not differentiable, making it a powerful tool in various fields, including statistics, machine learning, and engineering.