AbstractAn algorithm for computing the determinant of a matrix whose entries are multivariate polynomials is presented. It is based on classical multivariate Lagrange polynomial interpolation, and it exploits the Kronecker product structure of the coefficient matrix of the linear system associated with the interpolation problem. From this approach, the parallelization of the algorithm arises naturally. The reduction of the intermediate expression swell is also a remarkable feature of the algorithm
A cross multiplication method for determinant was generalized for any size of square matrices using ...
This paper presents a new parallel methodology for calculating the determinant of matrices of the or...
This paper presents a new parallel methodology for calculating the determinant of matrices of the or...
Parallel algorithms to compute the determinant and characteristic polynomial of matrices and the gcd...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
Abstract: The problem of eliminating variables from a set of polynomial equations arises in many sym...
We consider the problem of computing the determinant of a matrix of polynomials. Four algorithms are...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
AbstractWhen using bivariate polynomial interpolation for computing the implicit equation of a ratio...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractOur first contribution is a substantial acceleration of randomized computation of scalar, un...
International audienceEffective computation of resultants is a central problem in elimination theory...
A determinant plays an important role in many applications of linear algebra. Finding determinants u...
AbstractOur first contribution is a substantial acceleration of randomized computation of scalar, un...
A cross multiplication method for determinant was generalized for any size of square matrices using ...
This paper presents a new parallel methodology for calculating the determinant of matrices of the or...
This paper presents a new parallel methodology for calculating the determinant of matrices of the or...
Parallel algorithms to compute the determinant and characteristic polynomial of matrices and the gcd...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
Abstract: The problem of eliminating variables from a set of polynomial equations arises in many sym...
We consider the problem of computing the determinant of a matrix of polynomials. Four algorithms are...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
AbstractWhen using bivariate polynomial interpolation for computing the implicit equation of a ratio...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractOur first contribution is a substantial acceleration of randomized computation of scalar, un...
International audienceEffective computation of resultants is a central problem in elimination theory...
A determinant plays an important role in many applications of linear algebra. Finding determinants u...
AbstractOur first contribution is a substantial acceleration of randomized computation of scalar, un...
A cross multiplication method for determinant was generalized for any size of square matrices using ...
This paper presents a new parallel methodology for calculating the determinant of matrices of the or...
This paper presents a new parallel methodology for calculating the determinant of matrices of the or...