A polynomial matrix is called column reduced if its column degrees are as low as possible in some sense. Two polynomial matrices P and R are called unimodularly equivalent if there exists a unimodular polynomial matrix U such that PU 5 R. Every polynomial matrix is unimodularly equivalent to a column-reduced polynomial matrix. In this article a subroutine is described that takes a polynomial matrix P as input and yields on output a unimodular matrix U and a column-reduced matrix R such that PU 5 R; actually PU 2 R is near zero. The subroutine is based on an algorithm, described in a paper by Neven and Praagman. The subroutine has been tested with a number of examples on different computers, with comparable results. The performance of the su...
(eng) We study the link between the complexity of polynomial matrix multiplication and the complexit...
In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are ...
AbstractThis paper introduces a new efficient algorithm for computing Gröbner bases. To avoid as muc...
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...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
A few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of a polyn...
AbstractA few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of...
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 ...
A new algorithm is presented for computing a column reduced form of a given full column rank polynom...
Introduction Recently Beelen developed an algorithm, called KERPOL, to detennine a minimal basis for...
: Two algorithms are proposed for evaluating the rank of an arbitrary polynomial matrix. They rely u...
International audienceThis paper introduces a new efficient algorithm for computing Gröbner bases. T...
(eng) We study the link between the complexity of polynomial matrix multiplication and the complexit...
In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are ...
AbstractThis paper introduces a new efficient algorithm for computing Gröbner bases. To avoid as muc...
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...
A polynomial matrix is called column reduced if its column degrees are as low as possible in some se...
A few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of a polyn...
AbstractA few years ago Beelen developed an algorithm to determine a minimal basis for the kernel of...
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 ...
A new algorithm is presented for computing a column reduced form of a given full column rank polynom...
Introduction Recently Beelen developed an algorithm, called KERPOL, to detennine a minimal basis for...
: Two algorithms are proposed for evaluating the rank of an arbitrary polynomial matrix. They rely u...
International audienceThis paper introduces a new efficient algorithm for computing Gröbner bases. T...
(eng) We study the link between the complexity of polynomial matrix multiplication and the complexit...
In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are ...
AbstractThis paper introduces a new efficient algorithm for computing Gröbner bases. To avoid as muc...