The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

There's no need for a paid Adobe Acrobat subscription. These built-in and free tools let you merge PDF files quickly. Macy is a writer on the AI Team. She covers how AI is changing daily life and how ...

ABSTRACT: 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 ...

Abstract: Constrained optimization problems are very important and frequently appear in the real world. The /spl alpha/ constrained method is a new transformation method for constrained optimization.

In 1939, George Dantzig was pursuing a doctoral programme in mathematics at the University of California, Berkeley, where he studied statistics under Jerzy Neyman. Of all his achievements, a ...

Despite decades of explosive growth in computing power, despite far more and deeper mathematical and computer science knowledge, despite far more scientists working in the field of algorithms, it is ...

QBot malware is now distributed in phishing campaigns utilizing PDFs and Windows Script Files (WSF) to infect Windows devices. Qbot (aka QakBot) is a former banking trojan that evolved into malware ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...