On non-linear lower bounds in computational complexity

L. Valiant
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引用次数: 90

Abstract

The purpose of this paper is to explore the possibility that purely graph-theoretic reasons may account for the superlinear complexity of wide classes of computational problems. The results are therefore of two kinds: reductions to graph theoretic conjectures on the one hand, and graph theoretic results on the other. We show that the graph of any algorithm for any one of a number of arithmetic problems (e.g. polynomial multiplication, discrete Fourier transforms, matrix multiplication) must have properties closely related to concentration networks.
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关于计算复杂度的非线性下界
本文的目的是探讨纯图论的原因可以解释大量计算问题的超线性复杂性的可能性。因此,结果有两种:一方面是对图论猜想的约简,另一方面是图论结果。我们证明了任意一种算法的图(例如多项式乘法、离散傅立叶变换、矩阵乘法)必须具有与集中网络密切相关的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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