The Practical Efficiency of Convolutions in Pattern Matching Algorithms

  • Authors:
  • Amihood Amir;Avivit Levy;Liron Reuveni

  • Affiliations:
  • Department of Computer Science, Bar-Ilan University, 52900 Ramat-Gan, Israel. E-mails: amir@cs.biu.ac.il/ avivlev@netvision.net.il/ lironr@ashdot-a.org.il;Department of Computer Science, Bar-Ilan University, 52900 Ramat-Gan, Israel. E-mails: amir@cs.biu.ac.il/ avivlev@netvision.net.il/ lironr@ashdot-a.org.il;Department of Computer Science, Bar-Ilan University, 52900 Ramat-Gan, Israel. E-mails: amir@cs.biu.ac.il/ avivlev@netvision.net.il/ lironr@ashdot-a.org.il

  • Venue:
  • Fundamenta Informaticae - Workshop on Combinatorial Algorithms
  • Year:
  • 2008

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Abstract

Convolutions have proven to be an effective tool in asymptotically efficient pattern matching algorithms. This study attempts to find the type of problems where convolutions are inefficient in practice, and give possible solutions for the complex cases where the convolution method does not seem to aid realistic sized inputs.