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Computing Edit Distance (Invited Talk)

Author Michal Koucký

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LIPIcs.CPM.2021.2.pdf
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Subject Classification

ACM Subject Classification
  • Theory of computation → Pattern matching
Keywords
  • edit distance
  • streaming algorithms
  • approximation algorithms
  • sketching

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Abstract

The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of character insertions, deletions, and substitutions needed to convert x into y. It has numerous applications in various fields from text processing to bioinformatics so algorithms for edit distance computation attract lot of attention. In this talk I will survey recent progress on computational aspects of edit distance in several contexts: computing edit distance approximately, sketching and computing it in streaming model, exchanging strings in communication complexity model, and building error correcting codes for edit distance. I will point out many problems that are still open in those areas.

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Michal Koucký. Computing Edit Distance (Invited Talk). In 32nd Annual Symposium on Combinatorial Pattern Matching (CPM 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 191, p. 2:1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/LIPIcs.CPM.2021.2

Author Details

Michal Koucký
  • Computer Science Institute of Charles University, Prague, Czech Republic
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