• DocumentCode
    3151888
  • Title

    Set bit enumeration is hard

  • Author

    Ramachandran, J.

  • Author_Institution
    Ohio State Univ., Columbus, OH, USA
  • fYear
    1992
  • fDate
    22-25 Jun 1992
  • Firstpage
    58
  • Lastpage
    70
  • Abstract
    The polynomial-time function hierarchy is a function analog to the polynomial hierarchy and contains many interesting natural functions. Given the difficulties encountered so far in trying to develop feasible algorithms for these functions, the author seeks instead to construct feasible approximations. The author describes one such notion of approximation, set bit enumeration, which seems to be, by definition, a very weak information source. It is shown that this information is hard in the sense that if one could feasibly compute it, then one could compute, in polynomial time, the value of any function in the polynomial-time function hierarchy. In proving these hardness results, the author uses a novel method of pruning nondeterminism out of deterministic computation, together with combinatorial counting
  • Keywords
    computational complexity; combinatorial counting; deterministic computation; feasible approximations; hardness; natural functions; nondeterminism pruning; polynomial-time function hierarchy; set bit enumeration; Analog computers; Complexity theory; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Structure in Complexity Theory Conference, 1992., Proceedings of the Seventh Annual
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-8186-2955-X
  • Type

    conf

  • DOI
    10.1109/SCT.1992.215381
  • Filename
    215381