Computer Science and Engineering
CSE 201 Analysis of Algorithms
Rigorous analysis of the time and space requirements of important algorithms, including worst case, average case, and amortized analysis. Techniques include order-notation, recurrence relations, information-theoretic lower bounds, adversary arguments. Analysis of the key data structures: trees, hash tables, balanced tree schemes, priority queues, Fibonacci and binomial heaps. Algorithmic paradigms such as divide and conquer, dynamic programming, union-find with path compression, augmenting paths. Selected advanced algorithms. Introduction to NP-completeness. (Formerly Computer Science 201.)
Quarter offered
Fall, Winter
Instructor
Sheldon Finkelstein, Patrick Tantalo, Allen Van Gelder, David Helmbold