通过等差数列进行矩阵乘法

D. Coppersmith, S. Winograd
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引用次数: 2943

摘要

提出了一种矩阵乘法渐近加速的新方法。这项工作建立在Volker Strassen最近的想法上,通过使用一个基本的三线性形式,而不是矩阵乘积。我们新奇地使用了塞勒姆-斯宾塞定理,它给出了一个相当密集的整数集合,没有三项等差数列。我们得到的矩阵指数是2.376。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Matrix multiplication via arithmetic progressions
We present a new method for accelerating matrix multiplication asymptotically. This work builds on recent ideas of Volker Strassen, by using a basic trilinear form which is not a matrix product. We make novel use of the Salem-Spencer Theorem, which gives a fairly dense set of integers with no three-term arithmetic progression. Our resulting matrix exponent is 2.376.
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