AbstractThis paper reports on improvements to recent work on the computation of a structured low rank approximation of the Sylvester resultant matrix S(f,g) of two inexact polynomials f=f(y) and g=g(y). Specifically, it has been shown in previous work that these polynomials must be processed before a structured low rank approximation of S(f,g) is computed. The existing algorithm may still, however, yield a structured low rank approximation of S(f,g), but not a structured low rank approximation of S(g,f), which is unsatisfactory. Moreover, a structured low rank approximation of S(f,g) must be equal to, apart from permutations of its columns, a structured low rank approximation of S(g,f), but the existing algorithm does not guarantee the sati...
This thesis is a wide ranging work on computing a “lower-rank” approximation of a matrix polynomial ...
This thesis considers structure preserving matrix methods for computations on Bernstein polynomials ...
Abstract. We consider the problem of approximating an affinely structured matrix, for example, a Han...
AbstractA non-linear structure preserving matrix method for the computation of a structured low rank...
AbstractThis paper reports on improvements to recent work on the computation of a structured low ran...
A non-linear structure preserving matrix method for the computation of a structured low rank approxi...
The determination of an approximate greatest common divisor (GCD) of two inexact polynomials f=f(y) ...
Abstract. The task of determining the approximate greatest common divisor (GCD) of univariate polyno...
Abstract. In [16], authors described an algorithm based on Structured Total Least Norm (STLN) for co...
AbstractThe determination of an approximate greatest common divisor (GCD) of two inexact polynomials...
The task of determining the approximate greatest common divisor (GCD) of more than two univariate po...
Defining and computing a greatest common divisor of two polynomials with inexact coefficients is a c...
Defining and computing a greatest common divisor of two polynomials with inexact coefficients is a c...
We consider generalizations of the Sylvester matrix equation, consisting of the sum of a Sylvester o...
AbstractThe purpose of this paper is to investigate the problem of iterative computation of approxim...
This thesis is a wide ranging work on computing a “lower-rank” approximation of a matrix polynomial ...
This thesis considers structure preserving matrix methods for computations on Bernstein polynomials ...
Abstract. We consider the problem of approximating an affinely structured matrix, for example, a Han...
AbstractA non-linear structure preserving matrix method for the computation of a structured low rank...
AbstractThis paper reports on improvements to recent work on the computation of a structured low ran...
A non-linear structure preserving matrix method for the computation of a structured low rank approxi...
The determination of an approximate greatest common divisor (GCD) of two inexact polynomials f=f(y) ...
Abstract. The task of determining the approximate greatest common divisor (GCD) of univariate polyno...
Abstract. In [16], authors described an algorithm based on Structured Total Least Norm (STLN) for co...
AbstractThe determination of an approximate greatest common divisor (GCD) of two inexact polynomials...
The task of determining the approximate greatest common divisor (GCD) of more than two univariate po...
Defining and computing a greatest common divisor of two polynomials with inexact coefficients is a c...
Defining and computing a greatest common divisor of two polynomials with inexact coefficients is a c...
We consider generalizations of the Sylvester matrix equation, consisting of the sum of a Sylvester o...
AbstractThe purpose of this paper is to investigate the problem of iterative computation of approxim...
This thesis is a wide ranging work on computing a “lower-rank” approximation of a matrix polynomial ...
This thesis considers structure preserving matrix methods for computations on Bernstein polynomials ...
Abstract. We consider the problem of approximating an affinely structured matrix, for example, a Han...