This repository explores two optimization algorithms: the Traveling Salesman Problem (TSP) and Nearest Neighbor Search (NNS). It features Jupyter notebooks implementing brute-force solutions to both ...

ABSTRACT: This paper investigates the use of Artificial Neural Networks (ANN) to enhance Group Owner (GO) selection in Mobile Ad hoc Networks based on Wi-Fi Direct technology. These networks are ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Liu doesn't feel the need to maintain constant communication with all of her friends, and she's comfortable with that. "One of my best friends lives just a few blocks away, but we only meet up once a ...

ABSTRACT: This study presents a two-echelon inventory routing problem (2E-IRP) with an end-of-tour replenishment (ETR) policy whose distribution network consists of a supplier, several distribution ...