CSE 611: Approximation & Probabilistic Algorithms

CSE 611: Approximation & Probabilistic Algorithms

 
Course Information
Designation: 
 Required Course
Course Level: 
 Graduate
Prerequisites
Prerequisite(s) by Topic: 

ICS 553 or Consent of the Instructor

Catalog Description: 

Approximation algorithms to combinatorial problems like scheduling, bin-packing, knapsack, vertex cover, TSP, clique partitioning, graph compression, Steiner
problem on networks. Randomized algorithms: Monte-Carlo, Las-Vegas, and simulated annealing, Genetic algorithms. Graph matching and applications. Network flows and applications.​