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Many random walks are faster then one

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985840%3A_____%2F11%3A00369986" target="_blank" >RIV/67985840:_____/11:00369986 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1017/S0963548311000125" target="_blank" >http://dx.doi.org/10.1017/S0963548311000125</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/S0963548311000125" target="_blank" >10.1017/S0963548311000125</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Many random walks are faster then one

  • Original language description

    We pose a new and intriguing question motivated by distributed computing regarding random walks on graphs: How long does it take for several independent random walks, starting from the same vertex, to cover an entire graph? We study the cover time - theexpected time required to visit every node in a graph at least once - and we show that for a large collection of interesting graphs, running many random walks in parallel yields a speed-up in the cover time that is linear in the number of parallel walks.We demonstrate that an exponential speed-up is sometimes possible, but that some natural graphs allow only a logarithmic speed-up. A problem related to ours (in which the walks start from some probablistic distribution on vertices) was previously studied in the context of space efficient algorithms for undirected s-t-connectivity and our results yield, in certain cases, an improvement upon some of the earlier bounds.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Combinatorics Probability & Computing

  • ISSN

    0963-5483

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    22

  • Pages from-to

    481-502

  • UT code for WoS article

    000291604300001

  • EID of the result in the Scopus database