Essentially optimal sparse polynomial multiplication

Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray
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引用次数: 10

Abstract

We present a probabilistic algorithm to compute the product of two univariate sparse polynomials over a field with a number of bit operations that is quasi-linear in the size of the input and the output. Our algorithm works for any field of characteristic zero or larger than the degree. We mainly rely on sparse interpolation and on a new algorithm for verifying a sparse product that has also a quasi-linear time complexity. Using Kronecker substitution techniques we extend our result to the multivariate case.
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本质上是最优的稀疏多项式乘法
我们提出了一种概率算法来计算两个单变量稀疏多项式在一个域上的乘积,该域的输入和输出的大小是准线性的。我们的算法适用于任何特征为零或大于度的域。我们主要依靠稀疏插值和一种新的算法来验证具有准线性时间复杂度的稀疏积。利用克罗内克替换技术,我们将结果扩展到多元情况。
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