*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Atlanta, GA | Posted: August 16, 2006
(August 16, 2006)--College of Computing Associate Professor Eric Vigoda recently won the 2006 Delbert Ray Fulkerson Prize for his paper titled “A polynomial-time approximation algorithm for the permanent of a matrix with nonnegative entries,” co-authored with Mark Jerrum at the University of Edinburgh and Alistair Sinclair at UC Berkeley. The "Fulkerson Prize" is a prestigious award given every three years for outstanding papers in the area of Discrete Mathematics, and is sponsored jointly by the Mathematical Programming Society and the American Mathematical Society. Vigoda is the first from the College of Computing to win this celebrated prize, although past Georgia Tech winners include Arkadi Nemirovski (1982) from the School of Industrial and Systems Engineering and Robin Thomas (1994) from the School of Mathematics.
The permanent of a matrix is currently a well-studied combinatorial problem with applications in many fields, as it corresponds to the number of perfect matchings of a bipartite graph. For example in physics, computing the permanent is central to the study of the Dimer and Ising Models, although the exact computation of the permanent is intractable. Mathematicians began studying the permanent about two centuries ago, partly because of its superficial similarity to the determinant, which is a much easier problem.
Vigoda's breakthrough discovery is a randomized algorithm which approximates the permanent to within an arbitrarily close factor in time polynomial in the size of the input. Therefore, with the use of randomness, arbitrarily good approximations can still be obtained. Vigoda’s paper also introduces techniques that have already found several important computing, physics, and mathematical applications. The award was presented at the International Symposium on Mathematical Programming this month in Rio de Janeiro.
For more information about the Fulkerson Prize, click here.
To view Eric Vigoda’s award-winning paper, click here.
