• DocumentCode
    2884897
  • Title

    Expected query complexity of symmetric boolean functions

  • Author

    Acharya, Jayadev ; Jafarpour, Ashkan ; Orlitsky, Alon

  • Author_Institution
    Univ. of California San Diego, La Jolla, CA, USA
  • fYear
    2011
  • fDate
    28-30 Sept. 2011
  • Firstpage
    26
  • Lastpage
    29
  • Abstract
    The problem of finding optimal querying policy, for expected query complexity of symmetric boolean threshold functions was solved in [1] in the context of collocated networks. In this paper, instead of considering the optimal policy to compute the functions, we define the problem of verification of the function value. We use this idea to provide a simpler proof of the optimal querying policy for threshold functions. The method is more generic and is extended to delta and some other symmetric functions. We also provide some partial results for interval functions and finally address a question posed in [1]. Recently we have extended these results to any symmetric function of boolean inputs, which we mention at the end.
  • Keywords
    Boolean functions; computational complexity; collocated networks; expected query complexity; function value; optimal querying policy; symmetric boolean threshold functions; Boolean functions; Complexity theory; Decision trees; Indexes; Legislation; Random variables; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4577-1817-5
  • Type

    conf

  • DOI
    10.1109/Allerton.2011.6120145
  • Filename
    6120145