• DocumentCode
    3194905
  • Title

    Nonlinear polynomial systems: multiple roots and their multiplicities

  • Author

    Ko, K.H. ; Sakkalis, T. ; Patrikalakis, N.M.

  • Author_Institution
    Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2004
  • fDate
    7-9 June 2004
  • Firstpage
    87
  • Lastpage
    98
  • Abstract
    We present methods for the computation of roots of univariate and bivariate nonlinear polynomial systems as well as the identification of their multiplicity. We first present an algorithm, called the TDB algorithm, which computes the values and the multiplicities of roots of a univariate polynomial. The procedure is based on the concept of the degree of a certain Gauss map, which is deduced from the polynomial itself. In the bivariate case, we use a combination of resultants and our procedure for the univariate case, as the basis for developing an algorithm for locating the roots and computing their multiplicities. Our methods are robust and global in nature. Complexity analysis of the proposed methods is included together with comparison with standard subdivision methods. Examples illustrate our techniques.
  • Keywords
    computational complexity; computational geometry; polynomials; Cauchy index; Gauss map; TDB algorithm; bivariate nonlinear polynomial systems; complexity analysis; multiple roots; multiplicity identification; topological degree; univariate nonlinear polynomial systems; Clustering algorithms; Control theory; Eigenvalues and eigenfunctions; Floating-point arithmetic; Gaussian processes; High performance computing; Nonlinear equations; Polynomials; Robustness; Roundoff errors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling Applications, 2004. Proceedings
  • Print_ISBN
    0-7695-2075-8
  • Type

    conf

  • DOI
    10.1109/SMI.2004.1314496
  • Filename
    1314496