When Kathryn Ruemmler, a top Washington lawyer with an elite pedigree, joined Goldman Sachs GS0.35%increase; green up pointing triangle in 2020, she disclosed to top executives a connection that ...

Abstract: The Distribution Network Reconfiguration (DNR) problem is a well-known problem in the field of power system optimization. It consists of altering the state of the switches in Distribution ...

Regression Task — Predicts a numerical difficulty score representing the complexity of the problem. The project is inspired by competitive programming platforms such as Codeforces and CodeChef, where ...

This is a graphical user interface (GUI) application built with Python and Tkinter, designed to solve linear programming problems using SciPy's optimization library (linprog). Generates a plot of the ...

Abstract: The product delivery process is a set of steps to transport a product of an origin to a delivery point. Nowadays, there are different platforms or software based on classical algorithms for ...

Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges. Whitefish crash has Michigan fishers on the brink: ‘It makes you want to cry’ Donald ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...