This project provides a WebGL-based visualization of the de Jong attractor, a type of strange attractor defined by a system of two-dimensional difference equations.

A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).

Strange attractors

Genetic Algorithm to find minima in Dejong Functions