It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below: Though it ...

Here are a some implementations of various approximation algorithms for the optimal Travelling Salesperson Tour in 2D Euclidean Space. Additionally there are some helper algorithms such as Kruskal's ...

👩‍💻This repository provides Python implementations of a variety of fundamental algorithms and problem-solving techniques. From Knapsack and TSP to BFS, DFS, and more, explore practical examples to ...

I built a scalable N-Body gravitational simulator in Python using a Quadtree, replacing O(N²) interactions with an O(N log N) hierarchical approximation. I started from a simple question: how do you ...