• DocumentCode
    3162719
  • Title

    Selecting a monomial basis for sums of squares programming over a quotient ring

  • Author

    Permenter, Frank ; Parrilo, Pablo A.

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab. (CSAIL), Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    1871
  • Lastpage
    1876
  • Abstract
    In this paper we describe a method for choosing a “good” monomial basis for a sums of squares (SOS) program formulated over a quotient ring. It is known that the monomial basis need only include standard monomials with respect to a Groebner basis. We show that in many cases it is possible to use a reduced subset of standard monomials by combining Groebner basis techniques with the well-known Newton polytope reduction. This reduced subset of standard monomials yields a smaller semidefinite program for obtaining a certificate of non-negativity of a polynomial on an algebraic variety.
  • Keywords
    Newton method; polynomials; Groebner basis techniques; Newton polytope reduction; SOS; algebraic variety; monomial basis; quotient ring; semidefinite program; standard monomials; sums of squares programming; Mathematical model; Polynomials; Standards; Tin; Vectors; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6425994
  • Filename
    6425994