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Algorithms Column

机译:算法专栏

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摘要

The exponent ω of matrix multiplication is the infimum over all real numbers c such that for all ε > 0 there is an algorithm that multiplies n × n matrices using at most O(n~(c+ε)) arithmetic operations over an arbitrary field. A trivial lower bound on ω is 2, and the best known upper bound until recently was ω < 2.376 achieved by Coppersmith and Winograd in 1987. There were two independent improvements on ω, one by Stothers in 2010 who showed that ω < 2.374, and one by myself that ultimately resulted in ω < 2.373. Here I discuss the road to these improvements and conclude with some open questions.
机译:矩阵乘法的指数ω是所有实数c的最小值,因此对于所有ε> 0,存在一种算法,该算法在任意字段上最多使用O(n〜(c +ε))个算术运算将n×n个矩阵相乘。 ω上的一个小下限是2,直到最近最著名的上限是Coppersmith和Winograd在1987年获得的ω<2.376。对ω有两个独立的改进,一个是Stothers在2010年提出的,表明ω<2.374,以及最终导致ω<2.373。在这里,我讨论了这些改进的道路,并提出了一些未解决的问题。

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