We present real, complex, and quaternionic versions of a simple randomized polynomial time algorithm to approximate the permanent of a non-negative matrix and, more generally, the mixed discriminant of positive semidefinite matrices. The algorithm provides an unbiased estimator, which, with high probability, approximates the true value within a factor of O(c n ), where n is the size of the matrix (matrices) and where c 0:28 for the real version, c 0:56 for the complex version and c 0:76 for the quaternionic version. We discuss possible extensions of our method as well as applications of mixed discriminants to problems of combinatorial counting
Abstract. A new approximation algorithm for the permanent of an n × n 0,1-matrix is presented. The a...
AbstractA novel upper bound for the permanent of (0,1)-matrices is obtained in this paper, by using ...
AbstractWe study approximation algorithms for the permanent of an n×n(0,1) matrix A based on the fol...
We present real, complex, and quaternionic versions of a simple randomized polynomial time algorithm...
We construct a probabilistic polynomial time algorithm that computes the mixed discriminant of given...
Abstract Despite its apparent similarity to the (easily-computable) determinant, it is believed that...
We prove that it is {number_sign}P-hard to compute the mixed discriminant of rank 2 positive semidef...
We show that the mixed discriminant of n positive semidefinite n×n real symmetric matrices can be a...
I will present a deterministic polynomial time c^n approximation algorithm for the permanent of posi...
I will present a deterministic polynomial time c^n approximation algorithm for the permanent of posi...
AbstractWe study approximation algorithms for the permanent of an n×n(0,1) matrix A based on the fol...
Abstract. We present a deterministic algorithm, which, for any given 0 < < 1 and an n × n rea...
AbstractIt is shown that the permanent function of (0, 1)-matrices is a complete problem for the cla...
The permanent of a matrix has numerous applications but is notoriously hard to compute. While nonneg...
Let A be a square matrix over an arbitrary field. The permanent of the matrix A is defined as the al...
Abstract. A new approximation algorithm for the permanent of an n × n 0,1-matrix is presented. The a...
AbstractA novel upper bound for the permanent of (0,1)-matrices is obtained in this paper, by using ...
AbstractWe study approximation algorithms for the permanent of an n×n(0,1) matrix A based on the fol...
We present real, complex, and quaternionic versions of a simple randomized polynomial time algorithm...
We construct a probabilistic polynomial time algorithm that computes the mixed discriminant of given...
Abstract Despite its apparent similarity to the (easily-computable) determinant, it is believed that...
We prove that it is {number_sign}P-hard to compute the mixed discriminant of rank 2 positive semidef...
We show that the mixed discriminant of n positive semidefinite n×n real symmetric matrices can be a...
I will present a deterministic polynomial time c^n approximation algorithm for the permanent of posi...
I will present a deterministic polynomial time c^n approximation algorithm for the permanent of posi...
AbstractWe study approximation algorithms for the permanent of an n×n(0,1) matrix A based on the fol...
Abstract. We present a deterministic algorithm, which, for any given 0 < < 1 and an n × n rea...
AbstractIt is shown that the permanent function of (0, 1)-matrices is a complete problem for the cla...
The permanent of a matrix has numerous applications but is notoriously hard to compute. While nonneg...
Let A be a square matrix over an arbitrary field. The permanent of the matrix A is defined as the al...
Abstract. A new approximation algorithm for the permanent of an n × n 0,1-matrix is presented. The a...
AbstractA novel upper bound for the permanent of (0,1)-matrices is obtained in this paper, by using ...
AbstractWe study approximation algorithms for the permanent of an n×n(0,1) matrix A based on the fol...