Approximation algorithms for unique games
We present a polynomial time algorithm based on semidefinite programming that, given a unique game of value 1 - O(1/logn), satisfies a constant fraction of constraints, where n is the number of variables. For sufficiently large alphabets, it improves an algorithm of Khot (STOC'02) that satisfies a constant fraction of constraints in unique games of value 1 -O(1/(k/sup 10/(log k)/sup 5/)), where k is the size of the alphabet. We also present a simpler algorithm for the special case of unique games with linear constraints. Finally, we present a simple approximation algorithm for 2-to-1 games.