Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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 ...
The importance of Singapore as a technology hub was reinforced today at the opening of the Asia Photonics Expo (APE) 2026. This year’s APE (4-6 February) is at Sands Expo and Convention Centre, ...
Abstract: In this paper, we develop a fast mixed-integer convex programming (MICP) framework for multi-robot navigation by combining graph attention networks and distributed optimization. We formulate ...
Implement the gradient descent algorithm from scratch. Perform univariate linear regression with Numpy and Python. Create data visualizations and plots using matplotlib. By the end of this course, I ...
A comprehensive Python toolkit for solving NP-complete optimization problems, featuring multiple algorithmic approaches from exact methods to metaheuristics. Originally developed during graduate ...
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