Abstract: In this paper, we present a theoretical framework for design and analysis of distributed flocking algorithms. Two cases of flocking in free-space and presence of multiple obstacles are ...

Abstract: Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main ...

The Algorithms package provides a variety of sequence and collection operations, letting you cycle over a collection's elements, find combinations and permutations, create a random sample, and more.

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...

Algorithms are pre-defined, self-contained sets of instructions designed to execute diverse functions, and they have been around for longer than you might expect. From ancient Babylon to the present ...

I'm a software developer and writer, passionate about learning and sharing knowledge and one way I do that is through writing. I'm a software developer and writer, passionate about learning and ...

You might have heard that algorithms are in control of everything you hear, read, and see. They control the next song on your Spotify playlist, or what YouTube suggests you watch after you finish a ...

Know how to get the most out of your predictive tools. by Michael Luca, Jon Kleinberg and Sendhil Mullainathan Most managers’ jobs involve making predictions. When HR specialists decide whom to hire, ...

What are sports betting algorithms? Sports betting algorithms are data-driven systems that analyze vast amounts of sports data, including player statistics, team performance, weather conditions, and ...