• DocumentCode
    1943231
  • Title

    Generalized high order interpolatory 1-form bases for computational electromagnetics

  • Author

    Rieben, R. ; Rodrigue, G. ; White, D.

  • Author_Institution
    Lawrence Livermore Nat. Lab., CA, USA
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    686
  • Abstract
    The explicit formulae for arbitrary order 1-form interpolatory bases developed by Graglia, Wilton and Peterson (1997) are based upon Silvester-Lagrange polynomials. It is well known that these polynomials have the potential to exhibit erratic behavior as the order p increases due to their rapidly increasing Lebesgue constants. In this paper we present computed Lebesgue constants for these 1-form bases and for new bases that utilize interpolation points based on the zeros of Chebyshev polynomials. These new bases have significantly smaller Lebesgue constants (near optimal), and we show by example that this directly affects the interpolation error. We show that for large p, the interpolation error for non-uniform bases can be orders of magnitude smaller than that of uniform bases. The procedure presented here is generic in the sense that any interpolatory polynomial can be used. This generality is achieved by constructing the 1-form basis function on a reference element and transforming to the actual element using appropriate transformation rules. The appropriate transformation rules are conceived by identifying the interpolation vectors as tangent vectors, the basis functions as 1-forms and the curl of the basis functions as 2-forms.
  • Keywords
    computational electromagnetics; interpolation; polynomials; 1-form basis function; Chebyshev polynomials; Lebesgue constants; Silvester-Lagrange polynomials; computational electromagnetics; generalized high order interpolatory 1-form bases; interpolation error; interpolation vectors; interpolatory polynomial; nonuniform bases; reference element; tangent vectors; transformation rules; uniform bases; Boundary conditions; Chebyshev approximation; Computational electromagnetics; Computational modeling; Finite element methods; Interpolation; Laboratories; Maxwell equations; Partial differential equations; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2002. IEEE
  • Print_ISBN
    0-7803-7330-8
  • Type

    conf

  • DOI
    10.1109/APS.2002.1017076
  • Filename
    1017076