APPM 5650 - Randomized Algorithms Course uri icon



  • Investigates modern randomized methods that are used in scientific and numerical computing, in particular randomized matrix approximation methods. Other topics may include stochastic gradient methods and variance reduced versions, compressed sensing, and locality sensitive hashing. Same as STAT 5650. Recommended prerequisite: APPM 4440 or equivalent.