Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

1 Describe key models of computation and associated programming language paradigms based on them. 2 Evaluate the advantages and disadvantages of various programming languages for different ...

Technical Terms Probabilistic Programming: A programming paradigm that incorporates probabilistic models within code, enabling the direct representation and manipulation of uncertainty.

Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and ...

Interfaces, Vol. 20, No. 4, The Practice of Mathematical Programming (Jul. - Aug., 1990), pp. 133-149 (17 pages) The auction algorithm is an intuitive method for solving the classical assignment ...

Over at Dr. Dobbs, Rob Farber writes that, when used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming ...