We solve an open problem concerning the mixing time of symmetric random walk on the ndimensional cube truncated by a hyperplane, showing that it is polynomial in n. As a consequence, we obtain a fully-polynomial randomized approximation scheme for counting the feasible solutions of a 0-1 knapsack problem. The results extend to the case of any fixed number of hyperplanes. The key ingredient in our analysis is a combinatorial construction we call a "balanced almost uniform permutation, " which seems to be of independent interest
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
AbstractInspired by the mutation operator in genetic algorithms, we construct a complete weighted gr...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
this paper we present a method for analyzing a general class of random walks on the n-cube. These wa...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
AbstractWe present the first average-case analysis proving a polynomial upper bound on the expected ...
We present the first average-case analysis proving a polynomial upper bound on the expected running ...
ABSTRACT: In this paper we present a method for analyzing a general class of random walks on the n-c...
A conjecture of Mihail and Vazirani states that the edge expansion of the graph of every $0/1$ polyt...
Presented as part of the Workshop on Algorithms and Randomness on May 15, 2018 at 2:45 p.m. in the K...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
AbstractInspired by the mutation operator in genetic algorithms, we construct a complete weighted gr...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
this paper we present a method for analyzing a general class of random walks on the n-cube. These wa...
In this paper, we present the first average-case analysis proving an expected polynomial running tim...
AbstractWe present the first average-case analysis proving a polynomial upper bound on the expected ...
We present the first average-case analysis proving a polynomial upper bound on the expected running ...
ABSTRACT: In this paper we present a method for analyzing a general class of random walks on the n-c...
A conjecture of Mihail and Vazirani states that the edge expansion of the graph of every $0/1$ polyt...
Presented as part of the Workshop on Algorithms and Randomness on May 15, 2018 at 2:45 p.m. in the K...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
We consider the problem of uniformly sampling a vertex of a transportation polytope with m sources a...
AbstractInspired by the mutation operator in genetic algorithms, we construct a complete weighted gr...