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 ...

In this paper, we introduce the notion of smoothed competitive analysis of online algorithms. Smoothed analysis has been proposed by Spielman and Teng [25] to explain the behavior of algorithms that ...

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

This is a preview. Log in through your library . Abstract The trust region approach has been extended to solving nonlinear constrained optimization. Most of these extensions consider only equality ...

Some people enjoy solving problems, and then there are those who land top tech jobs by doing just that. Competitive programming (CP) is a sport for the mind, where coders have to solve problems with ...

Analyst firm IDC predicts that by 2020, the amount of data generated each year will reach 35 zetabytes. Companies are fighting this deluge in numerous ways. Some archive data for analysis at a later ...

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 ...