This paper revisits the Bézout, Sylvester, and power-basis matrix representations of the greatest common divisor (GCD) of sets of several polynomials. Furthermore, the present work introduces the application of the QR decomposition with column pivoting to a Bézout matrix achieving the computation of the degree and the coeffcients of the GCD through the range of the Bézout matrix. A comparison in terms of computational complexity and numerical effciency of the Bézout-QR, Sylvester-QR, and subspace-SVD methods for the computation of theGCDof sets of several polynomials with real coeffcients is provided.Useful remarks about the performance of the methods based on computational simulations of sets of several polynomials are also presented.
@article{bwmeta1.element.doi-10_1515_spma-2017-0015,
author = {Dimitrios Christou and Marilena Mitrouli and Dimitrios Triantafyllou},
title = {Structured Matrix Methods Computing the Greatest Common Divisor of Polynomials},
journal = {Special Matrices},
volume = {5},
year = {2017},
pages = {202-224},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_spma-2017-0015}
}
Dimitrios Christou; Marilena Mitrouli; Dimitrios Triantafyllou. Structured Matrix Methods Computing the Greatest Common Divisor of Polynomials. Special Matrices, Tome 5 (2017) pp. 202-224. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_spma-2017-0015/