对偶性应用于矩阵乘法和其他双线性形式的复杂性

J. Hopcroft, J. Musinski
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引用次数: 36

摘要

研究了非交换环上双线性形式的复杂性。定义了计算的对偶,并将其应用于矩阵乘法和其他双线性形式。证明了最优计算的对偶给出了对偶问题的最优计算。nxm × mxp矩阵乘积表示为nxp × pxm或mxn × nxp矩阵乘积的对偶,这意味着每个矩阵乘积需要相同的乘法次数来计算。最后,在考虑对偶问题的基础上,给出了一种计算乘法次数最少的非交换环上单双线性形式的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Duality applied to the complexity of matrix multiplications and other bilinear forms
The paper considers the complexity of bilinear forms in a noncommutative ring. The dual of a computation is defined and applied to matrix multiplication and other bilinear forms. It is shown that the dual of an optimal computation gives an optimal computation for a dual problem. An nxm by mxp matrix product is shown to be the dual of an nxp by pxm or an mxn by nxp matrix product implying that each of the matrix products requires the same number of multiplications to compute. Finally an algorithm for computing a single bilinear form over a noncommutative ring with a minimum number of multiplications is derived by considering a dual problem.
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来源期刊
CiteScore
7.80
自引率
0.00%
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