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Tight bounds on computing error-correcting codes by bounded-depth circuits with arbitrary gates

  1. 1.
    SYSNO ASEP0386309
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleTight bounds on computing error-correcting codes by bounded-depth circuits with arbitrary gates
    Author(s) Gál, A. (US)
    Hansen, K.A. (DK)
    Koucký, Michal (MU-W) RID, SAI, ORCID
    Pudlák, Pavel (MU-W) RID, SAI
    Viola, E. (US)
    Source TitleProceedings of the 44th Symposium on Theory of Computing, STOC'2012. - New York : ACM, 2012 / Karloff H.J. ; Pitassi T. - ISBN 978-1-4503-1245-5
    Pagess. 479-494
    Number of pages26 s.
    Publication formPrint - P
    ActionSTOC'12 Symposium on Theory of Computing Conference /44./
    Event date19.05.2012-22.05.2012
    VEvent locationNew York
    CountryUS - United States
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordserror correcting codes ; bounded depth circuits ; superconcentrators
    Subject RIVBA - General Mathematics
    R&D ProjectsGBP202/12/G061 GA ČR - Czech Science Foundation (CSF)
    IAA100190902 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    1M0545 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportMU-W - RVO:67985840
    EID SCOPUS84862625715
    DOI10.1145/2213977.2214023
    AnnotationWe bound the minimum number w of wires needed to compute any (asymptotically good) error-correcting code C:{0,1}^Omega(n) -> {0,1}^n with minimum distance Omega(n), using unbounded fan-in circuits of depth d with arbitrary gates. Our main results are: (1) If d=2 then w = Theta(n (log n/ log log n)^2). (2) If d=3 then w = Theta(n log log n). (3) If d=2k or d=2k+1 for some integer k > 1 then w = Theta(n lambda_k(n)), where lambda_1(n)=log n, lambda_{i+1}(n)=lambda_i^*(n), and the *-operation gives how many times one has to iterate the function lambda_i to reach a value at most 1 from the argument $n$. (4) If d=log^* n then w=O(n). Each bound is obtained for the first time in our paper. For depth d=2, our Omega(n (log n/log log n)^2) lower bound gives the largest known lower bound for computing any linear map, improving on the Omega(n log^{3/2} n) bound of Pudlak and Rodl (1994).
    WorkplaceMathematical Institute
    ContactJarmila Štruncová, struncova@math.cas.cz, library@math.cas.cz, Tel.: 222 090 757
    Year of Publishing2013
Number of the records: 1  

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