Better Size Estimation for Sparse Matrix Products

Rasmus Resen Amossen, Andrea Campagna, Rasmus Pagh

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

Abstract

We consider the problem of doing fast and reliable estimation of the number z of non-zero entries in a sparse boolean matrix product. This problem has applications in databases and computer algebra. Finally, we present experiments on real-world data sets that show the accuracy of both our methods to be significantly better than the worstcase analysis predicts.
Original languageEnglish
JournalAlgorithmica
Volume69
Issue number3
Pages (from-to)741-757
ISSN0178-4617
Publication statusPublished - Jul 2013

Keywords

  • Algorithms
  • Matrix multiplication
  • Relational algebra
  • Theory

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