On non-linear lower bounds in computational complexity

  • Authors:
  • Leslie G. Valiant

  • Affiliations:
  • -

  • Venue:
  • STOC '75 Proceedings of seventh annual ACM symposium on Theory of computing
  • Year:
  • 1975

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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.