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Multivariate Power Series in Maple

Authors :
Asadi, Mohammadali
Brandt, Alexander
Kazemi, Mahsa
Maza, Marc Moreno
Postma, Erik
Publication Year :
2021

Abstract

We present MultivariatePowerSeries, a Maple library introduced in Maple 2021, providing a variety of methods to study formal multivariate power series and univariate polynomials over such series. This library offers a simple and easy-to-use user interface. Its implementation relies on lazy evaluation techniques and takes advantage of Maple's features for object-oriented programming. The exposed methods include Weierstrass Preparation Theorem and factorization via Hensel's lemma. The computational performance is demonstrated by means of an experimental comparison with software counterparts.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2106.15519
Document Type :
Working Paper