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The pervasive reach of resource-bounded Kolmogorov complexity in computational complexity theory

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    SYSNO ASEP0352607
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleThe pervasive reach of resource-bounded Kolmogorov complexity in computational complexity theory
    Author(s) Allender, E. (US)
    Koucký, Michal (MU-W) RID, SAI, ORCID
    Ronneburger, D. (US)
    Roy, S. (IN)
    Source TitleJournal of Computer and System Sciences. - : Elsevier - ISSN 0022-0000
    Roč. 77, č. 1 (2011), s. 14-40
    Number of pages27 s.
    Languageeng - English
    CountryUS - United States
    KeywordsCircuit complexity ; Distinguishing complexity ; FewEXP ; Formula size ; Kolmogorov complexity
    Subject RIVBA - General Mathematics
    R&D ProjectsGAP202/10/0854 GA ČR - Czech Science Foundation (CSF)
    1M0545 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    IAA100190902 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z10190503 - MU-W (2005-2011)
    UT WOS000284450000003
    EID SCOPUS78349310875
    DOI10.1016/j.jcss.2010.06.004
    AnnotationWe continue an investigation into resource-bounded Kolmogorov complexity, which highlights the close connections between circuit complexity and Levin's time-bounded Kolmogorov complexity measure Kt (and other measures with a similar flavor), and also exploits derandomization techniques to provide new insights regarding Kolmogorov complexity. The Kolmogorov measures that have been introduced have many advantages over other approaches to defining resource-bounded Kolmogorov complexity. Here, we study the properties of other measures that arise naturally in this framework.The motivation for introducing yet more notions of resource-bounded Kolmogorov complexity are two-fold: 1) to demonstrate that other complexity measures such as branching-program size and formula size can also be discussed in terms of Kolmogorov complexity, and 2) to demonstrate that notions such as nondeterministic Kolmogorov complexity and distinguishing complexity also fit well into this framework.
    WorkplaceMathematical Institute
    ContactJarmila Štruncová, struncova@math.cas.cz, library@math.cas.cz, Tel.: 222 090 757
    Year of Publishing2011
Number of the records: 1  

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