Computing Edit Distance (Invited Talk)

Koucký, Michal

doi:10.4230/LIPIcs.CPM.2021.2

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Computing Edit Distance (Invited Talk)

Author Michal Koucký

Part of: Volume: 32nd Annual Symposium on Combinatorial Pattern Matching (CPM 2021)
Part of: Series: Leibniz International Proceedings in Informatics (LIPIcs)
Part of: Conference: Annual Symposium on Combinatorial Pattern Matching (CPM)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2021-06-30

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Document Identifiers

DOI: 10.4230/LIPIcs.CPM.2021.2
URN: urn:nbn:de:0030-drops-139534

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.

Cite As Get BibTex

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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