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Related papers: On Chudnovsky-Based Arithmetic Algorithms in Finit…

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The Chudnovsky and Chudnovsky algorithm for the multiplication in extensions of finite fields provides a bilinear complexity which is uniformly linear whith respect to the degree of the extension. Recently, Randriambololona has generalized…

Algebraic Geometry · Mathematics 2016-11-10 Stéphane Ballet , Nicolas Baudru , Alexis Bonnecaze , Mila Tukumuli

We indicate a strategy in order to construct bilinear multiplication algorithms of type Chudnovsky in large extensions of any finite field. In particular, by using the symmetric version of the generalization of Randriambololona specialized…

Algebraic Geometry · Mathematics 2013-03-29 Stéphane Ballet , Alexis Bonnecaze , Mila Tukumuli

We give new improvements to the Chudnovsky-Chudnovsky method that provides upper bounds on the bilinear complexity of multiplication in extensions of finite fields through interpolation on algebraic curves. Our approach features three…

Computational Complexity · Computer Science 2012-03-19 Hugues Randriambololona

We propose several constructions for the original multiplication algorithm of D.V. and G.V. Chudnovsky in order to improve its scalar complexity. We highlight the set of generic strategies who underlay the optimization of the scalar…

Algebraic Geometry · Mathematics 2020-07-17 Stephane Ballet , Alexis Bonnecaze , Thanh-Hung Dang

We propose a Recursive Polynomial Generic Construction (RPGC) of multiplication algorithms in any finite field $\mathbb{F}_{q^n}$ based on the method of D.V. and G.V. Chudnovsky specialized on the projective line. They are usual polynomial…

Algebraic Geometry · Mathematics 2021-11-18 Stéphane Ballet , Alexis Bonnecaze , Bastien Pacifico

A representation of finite fields that has proved useful when implementing finite field arithmetic in hardware is based on an isomorphism between subrings and fields. In this paper, we present an unified formulation for multiplication in…

Discrete Mathematics · Computer Science 2008-07-24 Francisco Arguello

We design a class of Chudnovsky-type algorithms multiplying k elements of a finite extension of order n a finite field K. We prove that these algorithms give a tensor decomposition of the k-multiplication for which the rank is linear in n…

Number Theory · Mathematics 2025-05-29 Stéphane Ballet , Robert Rolland

In this paper, we present a review of three widely-used practical square root algorithms. We then describe a unifying framework where each of these well-known algorithms can be seen as a special case of it. The framework with singular…

Number Theory · Mathematics 2024-01-31 Ebru Adiguzel-Goktas , Enver Ozdemir

Finite field multiplier is mainly used in error-correcting codes and signal processing. Finite field multiplier is regarded as the bottleneck arithmetic unit for such applications and it is the most complicated operation over finite field…

Information Theory · Computer Science 2023-09-15 Saeideh Nabipour , Gholamreza Zare Fatin , Javad Javidan

In a recent paper we have suggested that the finite temperature density matrix can be computed efficiently by a combination of polynomial expansion and iterative inversion techniques. We present here significant improvements over this…

Materials Science · Physics 2010-10-19 Michele Ceriotti , Thomas D. Kühne , Michele Parrinello

This paper deals with simultaneously fast and in-place algorithms for formulae where the result has to be linearly accumulated: some of the output variables are also input variables, linked by a linear dependency. Fundamental examples…

Symbolic Computation · Computer Science 2024-07-02 Jean-Guillaume Dumas , Bruno Grenet

We present here algorithms for efficient computation of linear algebra problems over finite fields.

Symbolic Computation · Computer Science 2013-05-21 Jean-Guillaume Dumas , Clément Pernet

We set new speed records for multiplying long polynomials over finite fields of characteristic two. Our multiplication algorithm is based on an additive FFT (Fast Fourier Transform) by Lin, Chung, and Huang in 2014 comparing to previously…

Symbolic Computation · Computer Science 2018-01-08 Ming-Shing Chen , Chen-Mou Cheng , Po-Chun Kuo , Wen-Ding Li , Bo-Yin Yang

In this paper, we study the arithmetics of skew polynomial rings over finite fields, mostly from an algorithmic point of view. We give various algorithms for fast multiplication, division and extended Euclidean division. We give a precise…

Number Theory · Mathematics 2012-12-17 Xavier Caruso , Jérémy Le Borgne

This paper deals with simultaneously fast and in-place algorithms for formulae where the result has to be linearly accumulated: some output variables are also input variables, linked by a linear dependency. Fundamental examples include the…

Symbolic Computation · Computer Science 2025-11-07 Jean-Guillaume Dumas , Bruno Grenet

Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, we propose iterative polynomial approximation algorithms to…

Signal Processing · Electrical Eng. & Systems 2025-04-22 Cheng Cheng , Qiyu Sun , Cong Zheng

We obtain new asymptotical bounds for the symmetric tensor rank of multiplication in any finite extension of any finite field $\F_q$. In this aim, we use the symmetric Chudnovsky-type generalized algorithm applied on a family of Shimura…

Algebraic Geometry · Mathematics 2015-12-31 Stéphane Ballet , Jean Chaumine , Julia Pieltant

A wide range of numerical methods exists for computing polynomial approximations of solutions of ordinary differential equations based on Chebyshev series expansions or Chebyshev interpolation polynomials. We consider the application of…

Symbolic Computation · Computer Science 2014-07-11 Alexandre Benoit , Mioara Joldes , Marc Mezzarobba

A finite semifield is a division algebra over a finite field where multiplication is not necessarily associative. We consider here the complexity of the multiplication in small semifields and finite field extensions. For this operation, the…

Symbolic Computation · Computer Science 2026-02-11 Jean-Guillaume Dumas , Stefano Lia , John Sheekey

In a recent paper Lima, Panario and Wang have provided a new method to multiply polynomials in Chebyshev basis which aims at reducing the total number of multiplication when polynomials have small degree. Their idea is to use Karatsuba's…

Computational Complexity · Computer Science 2013-09-10 Pascal Giorgi
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