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 ...

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

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

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 ...

DeepMind’s latest real-world application of machine learning is AlphaCode. Alphabet’s AI lab today announced a system that “writes computer programs at a competitive level.” DeepMind has a mission to ...

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 ...

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 ...