Courses with significant overlap with this course:

Semester of last offering:

Date of approval: dd-mmm-yyyy

Prerequisites:  

Course Contents

Max Flows: Max Flows (Ford Fulkerson and bipartite matching), Linear Algebra: LUP decomposition, inverting matrices, Fast Fourier Transform. Polynomial multiplication, integer multiplication and division, Number Theoretic Algorithms: gcd, modulo arithmetic, Chinese remaindering, RSA, Linear Programming: formulation, simplex, primal dual, Geometric algorithms: convex hull, closest pair, intersection of line segments, polygon triangulation, Randomized Algorithms: identity testing, primality and min cut, Approximation Algorithms: max cut, tsp, vertex cover etc, Backtracking, Other topics. These may include string matching, parallel algorithms, amortized analysis etc. 

Topics