Abstract. Jim Wilkinson discovered that the computation of zeros of polynomials is ill condi-tioned when the polynomial is given by its coefficients. For many problems we need to compute zeros of polynomials, but we do not necessarily need to represent the polynomial with its coefficients. We develop algorithms that avoid the coefficients. They turn out to be stable, however, the drawback is often heavily increased computational effort. Modern processors on the other hand are mostly idle and wait for crunching numbers so it may pay to accept more computations in order to increase stability and also to exploit parallelism. We apply the method for nonlinear eigenvalue problems
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
A new fast algorithm for computing the zeros of a polynomial in $O(n^{2})$ time using $O(n)$ memory ...
In linear algebra, the eigenvalues of a matrix are equivalently defined as the zeros of its characte...
[[abstract]]We give an algorithm to compute the finite zeros of a regular matrix polynomial P(λ) [i....
Abstract. The computation of zeros of polynomials is a classical computational problem. This paper p...
AbstractWe give an algorithm to compute the finite zeros of a regular matrix polynomial P(λ) [i.e. d...
AbstractThe problem of writing real zero polynomials as determinants of linear matrix polynomials ha...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We consider the problem of computing the determinant of a matrix of polynomials. Four algorithms are...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
A new fast algorithm for computing the zeros of a polynomial in $O(n^{2})$ time using $O(n)$ memory ...
In linear algebra, the eigenvalues of a matrix are equivalently defined as the zeros of its characte...
[[abstract]]We give an algorithm to compute the finite zeros of a regular matrix polynomial P(λ) [i....
Abstract. The computation of zeros of polynomials is a classical computational problem. This paper p...
AbstractWe give an algorithm to compute the finite zeros of a regular matrix polynomial P(λ) [i.e. d...
AbstractThe problem of writing real zero polynomials as determinants of linear matrix polynomials ha...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We consider the problem of computing the determinant of a matrix of polynomials. Four algorithms are...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
We give two determinantal representations for a bivariate polynomial. They may be used to compute th...
A new fast algorithm for computing the zeros of a polynomial in $O(n^{2})$ time using $O(n)$ memory ...