Parallel algorithms to compute the determinant and characteristic polynomial of matrices and the gcd of polynomials are presented. The rank of matrices and solutions of arbitrary systems of linear equations are computed by parallel Las Vegas algorithms. All algorithms work over arbitrary fields. They run in parallel time O(log2 n) (where n is the number of inputs) and use a polynomial number of processors
AbstractThe known fast algorithms for computations with general Toeplitz, Hankel, Toeplitz-like, and...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
AbstractSeveral fundamental problems of computations with polynomials and structured matrices are we...
AbstractWe estimate parallel complexity of several matrix computations under both Boolean and arithm...
AbstractWe review some of the most important resulsts in the area of fast parallel algorithms for th...
AbstractFast parallel algorithms are presented for computation of the determinant, adjoint, characte...
AbstractFast parallel algorithms are presented for computation of the determinant, adjoint, characte...
AbstractAn algorithm for computing the determinant of a matrix whose entries are multivariate polyno...
AbstractThis paper gives improved parallel methods for several exact factorizations of some classes ...
AbstractIt is shown that the division of an mth-degree polynomial by an nth-degree polynomial can be...
We review some of the most important results in the area of fast parallel algorithms for the solutio...
We review some of the most important results in the area of fast parallel algorithms for the solutio...
We review some of the most important results in the area of fast parallel algorithms for the solutio...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
AbstractThe known fast algorithms for computations with general Toeplitz, Hankel, Toeplitz-like, and...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
AbstractSeveral fundamental problems of computations with polynomials and structured matrices are we...
AbstractWe estimate parallel complexity of several matrix computations under both Boolean and arithm...
AbstractWe review some of the most important resulsts in the area of fast parallel algorithms for th...
AbstractFast parallel algorithms are presented for computation of the determinant, adjoint, characte...
AbstractFast parallel algorithms are presented for computation of the determinant, adjoint, characte...
AbstractAn algorithm for computing the determinant of a matrix whose entries are multivariate polyno...
AbstractThis paper gives improved parallel methods for several exact factorizations of some classes ...
AbstractIt is shown that the division of an mth-degree polynomial by an nth-degree polynomial can be...
We review some of the most important results in the area of fast parallel algorithms for the solutio...
We review some of the most important results in the area of fast parallel algorithms for the solutio...
We review some of the most important results in the area of fast parallel algorithms for the solutio...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
AbstractThe known fast algorithms for computations with general Toeplitz, Hankel, Toeplitz-like, and...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...