• DocumentCode
    2263908
  • Title

    An interior point approach to Boolean vector function synthesis

  • Author

    Kamath, A.P. ; Karmarkar, N.K. ; Ramakrishnan, K.G. ; Resende, M.G.C.

  • Author_Institution
    Stanford Univ., CA, USA
  • fYear
    1993
  • fDate
    16-18 Aug 1993
  • Firstpage
    185
  • Abstract
    The Boolean vector function synthesis problem can be stated as follows: Given a truth table with n input variables and m output variables, synthesize a Boolean vector function that describes the table. In this paper we describe a new formulation of the Boolean vector function synthesis problem as a particular type of satisfiability problem. The satisfiability problem is translated into an integer programming feasibility problem, that is solved with an interior point algorithm for integer programming. Preliminary computational results are presented
  • Keywords
    Boolean functions; decidability; integer programming; Boolean vector function synthesis; integer programming feasibility problem; interior point algorithm; satisfiability problem; truth table; Artificial intelligence; Boolean functions; Circuit synthesis; Functional programming; Integrated circuit synthesis; Linear programming; Logic circuits; Logic design; Logic programming; Machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    0-7803-1760-2
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1993.343098
  • Filename
    343098