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 ...

With the advancement of graph theory and network science, scholars have found that traditional paradigms for understanding two-dimensional graph structures can no longer address the realities of the ...

In this technical note, the numerical steps for the simplex method of linear programming are reviewed and the tolerances needed in the numerical procedure are defined. Objective criteria are given for ...

This repository contains a collection of prototype linear programming (LP) applications that implement specific algorithms I learned in college. The purpose is to demonstrate that these mathematical ...

The old Babylonian algorithm, a remarkable mathematical artifact from ancient Mesopotamia (around 1800–1600 BC), has long been a subject of fascination to scholars. This ancient algorithm not only ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

One of the world's biggest companies has found itself in hot water. Google is dealing with the effects of a massive leak that claimed to expose the inner workings of its search engine. The leak came ...