Many statistical learning problems can be posed as minimization of a sum of two convex functions, one typically a composition of nonsmooth and linear functions. Examples include regression under ...

From keeping our inboxes free from SPAM to mining your favorite cryptocurrencies, algorithms are all around us. While we feel like we’re drowning in an ocean of big data, clever algorithms are ...

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing – algorithm. In the most ...

The design and analysis of efficient algorithms for important computational problems. Paradigms for algorithm design including Divide and Conquer, Greedy Algorithms, Dynamic Programming; and, the use ...

Reflecting great advances from the last decade, including sensor-based planning, probabalistic planning, and localization and mapping, this text makes the mathematical underpinnings of robot motion ...