Credits: 3.00
Description:
This course covers fundamental principles of the design and analysis of algorithms. Topics include asymptotic notation, recurrences, randomized algorithms, sorting and selection, balanced binary search trees, augmented
data structures, advanced data structures, algorithms on strings, graph algorithms,
geometric algorithms, greedy algorithms, dynamic programming and NP
completeness.
Prerequisites: CS 2134 (C- or better) and MA 2312/2322.