➗ This work presents a thorough analysis of a quadratic optimization model, confirming convexity, coercivity, and the exact global minimum. It compares gradient descent and Newton’s method, highlighting Newton’s superior efficiency when the Hessian is invertible.

This is a repository containing an interactive visualizer for the source file analyzer code that we have implemented. The visualizer allows you to explore the output of the source file analyzer in an interactive and intuitive way, making it easier to understand and analyze the results.

explore the mesmerizing complexity of the Mandelbrot set with this C++ project featuring high-resolution visualization, zoom functionalities, and customizable color mapping.