On the complexity of multivariate blockwise polynomial multiplication
Author(s) -
Joris van der Hoeven,
Grégoire Lecerf
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2442829.2442861
Subject(s) - multiplication (music) , mathematics , monomial , ring (chemistry) , polynomial , degree (music) , product (mathematics) , multivariate statistics , fast fourier transform , discrete mathematics , combinatorics , algorithm , statistics , mathematical analysis , chemistry , physics , geometry , organic chemistry , acoustics
In this article, we study the problem of multiplying two multivariate polynomials which are somewhat but not too sparse, typically like polynomials with convex supports. We design and analyze an algorithm which is based on blockwise decomposition of the input polynomials, and which performs the actual multiplication in an FFT model or some other more general so called "evaluated model". If the input polynomials have total degrees at most d, then, under mild assumptions on the coefficient ring, we show that their product can be computed with O (s1.5337) ring operations, where s denotes the number of all the monomials of total degree at most 2d.
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