• DocumentCode
    3398715
  • Title

    On computing Boolean functions by sparse real polynomials

  • Author

    Krause, Matt Hias ; Pudlák, Pavel

  • Author_Institution
    Lehrstuhl Inf. II, Dortmund Univ., Germany
  • fYear
    1995
  • fDate
    23-25 Oct 1995
  • Firstpage
    682
  • Lastpage
    691
  • Abstract
    We investigate the complexity of Boolean functions f with respect to realizations by real polynomials p (voting polynomials) in the sense that the sign of p(x) determines the value f(x). Considerable research has been done on determining the minimal degree needed for realizing or approximating particular functions. In this paper we focus our interest on estimating the minimal number of monomials, i.e. the length of realizing polynomials. Our main observation is that, in contrast to the degree, the minimal length essentially depends on whether we realize f over the domain {0,1}n (which corresponds to threshold-and circuits for f), or over the domain {1,-1}n (which corresponds to threshold-parity circuits)
  • Keywords
    Boolean functions; computational complexity; polynomials; Boolean functions; complexity; polynomials; sparse real polynomials; threshold-and circuits; threshold-parity circuits; Boolean functions; Circuits; Feedforward neural networks; Neural networks; Polynomials; Switches; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1995. Proceedings., 36th Annual Symposium on
  • Conference_Location
    Milwaukee, WI
  • ISSN
    0272-5428
  • Print_ISBN
    0-8186-7183-1
  • Type

    conf

  • DOI
    10.1109/SFCS.1995.492670
  • Filename
    492670