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An FPT algorithm for Tree Deletion Set

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F13%3A00209344" target="_blank" >RIV/68407700:21240/13:00209344 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-642-36065-7_27" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-36065-7_27</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-36065-7_27" target="_blank" >10.1007/978-3-642-36065-7_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An FPT algorithm for Tree Deletion Set

  • Original language description

    We give a $5^k n^{O(1)}$ fixed-parameter algorithm for determining whether a given undirected graph on $n$ vertices has a subset of at most $k$ vertices whose deletion results in a tree. Such a subset is a restricted form of a feedback vertex set. Whileparameterized complexity of feedback vertex set problem and several of its variations have been well studied, to the best of our knowledge, this is the first fixed-parameter algorithm for this version of feedback vertex set.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    978-3-642-36064-0

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    286-297

  • Publisher name

    Springer Science+Business Media

  • Place of publication

    Berlin

  • Event location

    Kharagpur

  • Event date

    Feb 14, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article