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Efficient Evaluation of Noncommutative Polynomials Using Tensor and Noncommutative Waring Decompositions
Numerical Functional Analysis and Optimization ( IF 1.2 ) Pub Date : 2020-12-27 , DOI: 10.1080/01630563.2020.1859530
Eric Evert 1, 2 , J. William Helton 3 , Shiyuan Huang 4 , Jiawang Nie 3
Affiliation  

Abstract

This paper analyses a Waring type decomposition of a noncommuting (NC) polynomial p with respect to the goal of evaluating p efficiently on tuples of matrices. Such a decomposition can reduce the number of matrix multiplications needed to evaluate a noncommutative polynomial and is valuable when a single polynomial must be evaluated on many matrix tuples. In pursuit of this goal we examine a noncommutative analog of the classical Waring problem and various related decompositions. For example, we consider a “Waring decomposition” in which each product of linear terms is actually a power of a single linear NC polynomial or more generally a power of a homogeneous NC polynomial. We describe how NC polynomials compare to commutative ones with regard to these decompositions, describe a method for computing the NC decompositions and compare the effect of various decompositions on the speed of evaluation of generic NC polynomials.



中文翻译:

使用张量和非交换Waring分解对非交换多项式进行有效评估

摘要

本文针对评估p的目标分析了非换向(NC)多项式p的Waring类型分解高效地处理矩阵元组。这样的分解可以减少评估非可交换多项式所需的矩阵乘法次数,并且在必须对多个矩阵元组评估一个多项式时非常有用。为了实现这一目标,我们研究了经典Waring问题和各种相关分解的非可交换类比。例如,我们考虑“战争分解”,其中线性项的每个乘积实际上是单个线性NC多项式的幂或更通常是齐次NC多项式的幂。我们将针对这些分解描述N​​C多项式与可交换多项式的比较,描述一种计算NC分解的方法,并比较各种分解对通用NC多项式求值速度的影响。

更新日期:2020-12-27
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