Title
Fast, Algebraic Multivariate Multipoint Evaluation in Small Characteristic and Applications
Abstract
Multipoint evaluation is the computational task of evaluating a polynomial given as a list of coefficients at a given set of inputs. Besides being a natural and fundamental question in computer algebra on its own, fast algorithms for this problem are also closely related to fast algorithms for other natural algebraic questions like polynomial factorization and modular composition. And while nearly linear time algorithms have been known for the univariate instance of multipoint evaluation for close to five decades due to a work of Borodin and Moenck, fast algorithms for the multivariate version have been much harder to come by. In a significant improvement to the state of art for this problem, Umans and Kedlaya & Umans gave nearly linear time algorithms for this problem over field of small characteristic and over all finite fields respectively, provided that the number of variables n is at most d(o(1)) where the degree of the input polynomial in every variable is less than d. They also stated the question of designing fast algorithms for the large variable case (i.e. n is not an element of d(o(1))) as an open problem. In this work, we show that there is a deterministic algorithm for multivariate multipoint evaluation over a field Fq of characteristic p which evaluates an n-variate polynomial of degree less than d in each variable on N inputs in time ((N + d(n))(1+ o(1)) poly(logq, d, n, p)) provided that p is at most d(o(1)), and q is at most (exp( . . . (exp(d)))), where the height of this tower of exponentials is fixed. When the number of variables is large (e.g. n is not an element of d(o(1))), this is the first nearly linear time algorithm for this problem over any ( large enough) field.
Year
DOI
Venue
2022
10.1145/3519935.3519968
PROCEEDINGS OF THE 54TH ANNUAL ACM SIGACT SYMPOSIUM ON THEORY OF COMPUTING (STOC '22)
Keywords
DocType
ISSN
Multipoint evaluation, Matrix rigidity, Modular composition, Polynomial evaluation, Data structures, Algebraic circuits, Vandermonde matrix
Conference
0737-8017
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Vishwas Bhargava113.18
Sumanta Ghosh200.34
Mrinal Kumar300.34
Chandra Kanta Mohapatra400.34