Eric Vigoda

Eric Vigoda

Dr. Vigoda's research focuses on randomized algorithms, particularly Markov chain Monte Carlo algorithms. Vigoda's acclaimed result (with collaborators M. Jerrum and A. Sinclair) is an efficient algorithm for estimating the permanent of a matrix.

His work has connections to phase transitions in Statistical Physics and phylogenetic reconstruction in Evolutionary Biology.


Algorithms & Randomness Center and Thinktank (ARC)
College of Computing
School of Computer Science