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Constant factor approximations to edit distance on far input pairs in nearly linear time

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10422309" target="_blank" >RIV/00216208:11320/20:10422309 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3357713.3384307" target="_blank" >https://doi.org/10.1145/3357713.3384307</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3357713.3384307" target="_blank" >10.1145/3357713.3384307</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Constant factor approximations to edit distance on far input pairs in nearly linear time

  • Original language description

    For any T &gt;= 1, there are constants R=R(T) &gt;= 1 and ζ=ζ(T)&gt;0 and a randomized algorithm that takes as input an integer n and two strings x,y of length at most n, and runs in time O(n1+1/T) and outputs an upper bound U on the edit distance of edit(x,y) that with high probability, satisfies U &lt;= R(edit(x,y)+n1-ζ). In particular, on any input with edit(x,y) &gt;= n1-ζ the algorithm outputs a constant factor approximation with high probability. A similar result has been proven independently by Brakensiek and Rubinstein (this proceedings).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GX19-27871X" target="_blank" >GX19-27871X: Efficient approximation algorithms and circuit complexity</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing

  • ISBN

    978-1-4503-6979-4

  • ISSN

    0737-8017

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    699-712

  • Publisher name

    ACM - Association for Computing Machinery.

  • Place of publication

    USA

  • Event location

    USA

  • Event date

    Jun 22, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000614624700056