Recently an algorithm has been developed for column reduction of polynomial matrices. In a previous report the authors described a Fortran implementation of this algorithm. In this paper we compare the results of that implementation with an implementation of the algorithm originally developed by Wolovich. We conclude that the complexity of the Wolovich algorithm is lower, but in complicated cases the first mentioned algorithm yields better results.</p
A unified approach is pursued for designing efficient and numerically reliable algorithms for polyno...
In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are ...
Complexity bounds for many problems about matrices with univariate polynomial entries have been impr...
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 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...
Introduction Recently Beelen developed an algorithm, called KERPOL, to detennine a minimal basis for...
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...
A new algorithm is presented for computing a column reduced form of a given full column rank polynom...
(eng) We study the link between the complexity of polynomial matrix multiplication and the complexit...
Polynomial matrix theory is very important to many automatic control related pro- blems. This thesis...
A unified approach is pursued for designing efficient and numerically reliable algorithms for polyno...
In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are ...
Complexity bounds for many problems about matrices with univariate polynomial entries have been impr...
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 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...
Introduction Recently Beelen developed an algorithm, called KERPOL, to detennine a minimal basis for...
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...
A new algorithm is presented for computing a column reduced form of a given full column rank polynom...
(eng) We study the link between the complexity of polynomial matrix multiplication and the complexit...
Polynomial matrix theory is very important to many automatic control related pro- blems. This thesis...
A unified approach is pursued for designing efficient and numerically reliable algorithms for polyno...
In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are ...
Complexity bounds for many problems about matrices with univariate polynomial entries have been impr...