Add to ORKGA new algorithm is presented for computing a column reduced form of a given full column rank polynomial matrix. The method is based on reformulating the problem as a problem of constructing a minimal basis for the right nullspace of a polynomial matrix closely related to the original one. The latter problem can easily be solved in a numerically reliable way. Two examples illustrating the method are included. Keywords: Polynomial matrix, column reduced, minimal polynomial basis, numerical method
Research Report LIP RR2005-03, January 2005We reduce the problem of computing the rank and a nullspa...
AbstractWe propose a new algorithm for the computation of a minimal polynomial basis of the left ker...
The main contribution of this work is to provide two algorithms for the computation of the minimal p...
A new algorithm is presented for computing a column reduced form of a given full column rank polynom...
AbstractA few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of...
A few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of a polyn...
Introduction Recently Beelen developed an algorithm, called KERPOL, to detennine a minimal basis for...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
(eng) We reduce the problem of computing the rank and a nullspace basis of a univariate polynomial m...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
Recently an algorithm has been developed for column reduction of polynomial matrices. In a previous ...
Recently an algorithm has been developed for column reduction of polynomial matrices. In a previous ...
Research Report LIP RR2005-03, January 2005We reduce the problem of computing the rank and a nullspa...
AbstractWe propose a new algorithm for the computation of a minimal polynomial basis of the left ker...
The main contribution of this work is to provide two algorithms for the computation of the minimal p...
A new algorithm is presented for computing a column reduced form of a given full column rank polynom...
AbstractA few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of...
A few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of a polyn...
Introduction Recently Beelen developed an algorithm, called KERPOL, to detennine a minimal basis for...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
(eng) We reduce the problem of computing the rank and a nullspace basis of a univariate polynomial m...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
Recently an algorithm has been developed for column reduction of polynomial matrices. In a previous ...
Recently an algorithm has been developed for column reduction of polynomial matrices. In a previous ...
Research Report LIP RR2005-03, January 2005We reduce the problem of computing the rank and a nullspa...
AbstractWe propose a new algorithm for the computation of a minimal polynomial basis of the left ker...
The main contribution of this work is to provide two algorithms for the computation of the minimal p...