AbstractFinding the product of two polynomials is an essential and basic problem 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 useful feature of these algorithms is that they essentially provide a gradient between existing “sparse” and “dense” methods. We prove that these approaches provide significant improvements in many cases but in the worst case are still comparable to the fastest existing algorithms
AbstractThis paper examines the most efficient known serial and parallel algorithms for multiplying ...
In symbolic computation, polynomial multiplication is a fundamental operation akin to matrix multipl...
Efficient arithmetic over finite fields has high relevance both in hardware and software implementat...
Finding the product of two polynomials is an essential and basic prob-lem in computer algebra. While...
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 ...
AbstractWe observe that polynomial evaluation and interpolation can be performed fast over a multidi...
International audienceThe polynomial multiplication problem has attracted considerable attention sin...
Can post-Schönhage–Strassen multiplication algorithms be competitive in practice for large input siz...
In recent years a number of algorithms have been designed for the "inverse" computational ...
Abstract. We present lazy and forgetful algorithms for multiplying and dividing multivariate polynom...
This paper presents several methods for reducing the number of bit operations for multiplication of ...
We investigate two practical divide-and-conquer style algorithms for univariate polynomial arithmeti...
In this paper we present various algorithms for multiplying multivariate polynomials and series. All...
AbstractThis paper examines the most efficient known serial and parallel algorithms for multiplying ...
In symbolic computation, polynomial multiplication is a fundamental operation akin to matrix multipl...
Efficient arithmetic over finite fields has high relevance both in hardware and software implementat...
Finding the product of two polynomials is an essential and basic prob-lem in computer algebra. While...
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 ...
AbstractWe observe that polynomial evaluation and interpolation can be performed fast over a multidi...
International audienceThe polynomial multiplication problem has attracted considerable attention sin...
Can post-Schönhage–Strassen multiplication algorithms be competitive in practice for large input siz...
In recent years a number of algorithms have been designed for the "inverse" computational ...
Abstract. We present lazy and forgetful algorithms for multiplying and dividing multivariate polynom...
This paper presents several methods for reducing the number of bit operations for multiplication of ...
We investigate two practical divide-and-conquer style algorithms for univariate polynomial arithmeti...
In this paper we present various algorithms for multiplying multivariate polynomials and series. All...
AbstractThis paper examines the most efficient known serial and parallel algorithms for multiplying ...
In symbolic computation, polynomial multiplication is a fundamental operation akin to matrix multipl...
Efficient arithmetic over finite fields has high relevance both in hardware and software implementat...