Johns Hopkins University 3 credits Computer Science
Graduate version of EN.601.435. This course provides an introduction to approximation algorithms. Topics include vertex cover, TSP, Steiner trees, cuts, greedy approach, linear and semi-definite programming, primal-dual method, and randomization. Additional topics will be covered as time permits. There will be a final project. Recommended Background: EN.601.633 or equivalent. Students may receive credit for EN.601.435 or EN.601.635, but not both. Prerequisite(s): Students can only receive credit for one of EN.601.435 or EN.601.635.
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