Deterministic length reduction: fast convolution in sparse data and applications

  • Authors:
  • Amihood Amir;Oren Kapah;Ely Porat

  • Affiliations:
  • Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel;Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel;Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel

  • Venue:
  • CPM'07 Proceedings of the 18th annual conference on Combinatorial Pattern Matching
  • Year:
  • 2007

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Abstract

In this paper a deterministic algorithm for the length reduction problem is presented. This algorithm enables a new tool for performing fast convolution in sparse data. The proposed algorithm performs the convolution in O(n1 log3 n1), where n1 is the number of non-zero values in V1. This algorithm assumes that V1 is given in advance, and the V2 is given in running time.