This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

Online learning and competitive analysis are two widely studied frameworks for online decision-making settings. Despite the frequent similarity of the problems they study, there are significant ...

In this paper, we consider two different formulations (one is smooth and the other one is nonsmooth) for solving linear matrix inequalities (LMIs), an important class of semidefinite programming (SDP) ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

MELAKA: A tech-savvy Melaka teen has published a book for youngsters interested in competitive programming. Neo Yong Li, 17, said his book is comprehensible enough for beginners to prepare and ...

If Vladimir Putin glances out the windows of the Kremlin at just the right moment, he has a chance of glimpsing the world’s best computer programmer in Google’s Moscow office across the river. Wired ...