Print Settings
 

MS&E 319: Approximation Algorithms

Combinatorial and mathematical programming techniques to derive approximation algorithms for NP-hard optimization problems. Prossible topics include: greedy algorithms for vertex/set cover; rounding LP relaxations of integer programs; primal-dual algorithms; semidefinite relaxations. May be repeated for credit. Prerequisites: 112 or CS 161.
Terms: Aut | Units: 3 | Repeatable for credit
Instructors: ; Saberi, A. (PI)
© Stanford University | Terms of Use | Copyright Complaints