Finding the product of two polynomials is an essential and basic prob-lem in computer algebra. While most previous results have focused on the worst-case complexity, we instead employ the technique of adaptive analysis to give an improvement in many “easy ” cases. We present two adaptive measures and methods for polynomial multiplication, and also show how to effectively combine them to gain both advantages. One use-ful feature of these algorithms is that they essentially provide a gradient between existing “sparse ” and “dense ” methods. We prove that these ap-proaches provide significant improvements in many cases but in the worst case are still comparable to the fastest existing algorithms.
In this paper, we present a probabilistic algorithm to multiply two sparse polynomials almost as eff...
International audienceThe Basic Polynomial Algebra Subprograms (BPAS) provides arithmetic operations...
This paper presents several methods for reducing the number of bit operations for multiplication of ...
AbstractFinding the product of two polynomials is an essential and basic problem in computer algebra...
Polynomial multiplication is as close to any problem comes to being “classical” in the field of comp...
The multiplication of polynomials is a fundamental operation in complexity theory. Indeed, for many ...
In recent years a number of algorithms have been designed for the "inverse" computational ...
We investigate two practical divide-and-conquer style algorithms for univariate polynomial arithmeti...
AbstractWe observe that polynomial evaluation and interpolation can be performed fast over a multidi...
Can post-Schönhage–Strassen multiplication algorithms be competitive in practice for large input siz...
International audienceThe polynomial multiplication problem has attracted considerable attention sin...
The research presented focuses on optimization of polynomials using algebraic manipulations at the h...
AbstractThis paper examines the most efficient known serial and parallel algorithms for multiplying ...
In this paper we present various algorithms for multiplying multivariate polynomials and series. All...
Computers use algorithms to evaluate polynomials. This paper will study the efficiency of various al...
In this paper, we present a probabilistic algorithm to multiply two sparse polynomials almost as eff...
International audienceThe Basic Polynomial Algebra Subprograms (BPAS) provides arithmetic operations...
This paper presents several methods for reducing the number of bit operations for multiplication of ...
AbstractFinding the product of two polynomials is an essential and basic problem in computer algebra...
Polynomial multiplication is as close to any problem comes to being “classical” in the field of comp...
The multiplication of polynomials is a fundamental operation in complexity theory. Indeed, for many ...
In recent years a number of algorithms have been designed for the "inverse" computational ...
We investigate two practical divide-and-conquer style algorithms for univariate polynomial arithmeti...
AbstractWe observe that polynomial evaluation and interpolation can be performed fast over a multidi...
Can post-Schönhage–Strassen multiplication algorithms be competitive in practice for large input siz...
International audienceThe polynomial multiplication problem has attracted considerable attention sin...
The research presented focuses on optimization of polynomials using algebraic manipulations at the h...
AbstractThis paper examines the most efficient known serial and parallel algorithms for multiplying ...
In this paper we present various algorithms for multiplying multivariate polynomials and series. All...
Computers use algorithms to evaluate polynomials. This paper will study the efficiency of various al...
In this paper, we present a probabilistic algorithm to multiply two sparse polynomials almost as eff...
International audienceThe Basic Polynomial Algebra Subprograms (BPAS) provides arithmetic operations...
This paper presents several methods for reducing the number of bit operations for multiplication of ...