• DocumentCode
    843059
  • Title

    Progress in differentiation of approximate data

  • Author

    Omeragic, Dzevat ; Silvester, Peter P.

  • Author_Institution
    Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    38
  • Issue
    1
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    Accurate derivative calculation is a key process in computational electromagnetics. Differentiation is required for graphic display, a posteriori error estimation, automatic mesh refinement, and result post-processing. The choice of method depends on the accuracy required, and on the order of derivatives to be computed. This paper reviews recent progress, and compares several recent derivative-extraction methods: local smoothing, superconvergent-patch recovery (SPR), and methods based on Green´s second identity. The SPR approach of Zhu and Zienkiewicz (see Finite Elements in Analysis and Design, vol.19, p.1123, 1995) has been extended in several ways to yield good accuracy at low cost, but it can only produce first derivatives. The Green´s identity methods of Silvester and Omeragic (see International Journal of Applied Electomagnetics in Materials, vol.4, p.123-136, 1993) are computationally expensive, but extremely accurate, even for third and fourth derivatives. Representative numerical results illustrate the methods discussed
  • Keywords
    Green´s function methods; approximation theory; computer aided analysis; differentiation; electrical engineering; electrical engineering computing; electromagnetism; error analysis; Green´s identity methods; Green´s second identity; accuracy; approximate data differentiation; automatic mesh refinement; computational electromagnetics; derivative extraction methods; error estimation; first derivatives; fourth derivatives; graphic display; local smoothing; numerical results; result postprocessing; superconvergent patch recovery; third derivatives; Costs; Displays; Electromagnetics; Error analysis; Finite difference methods; Finite element methods; Graphics; Magnetics; Physics computing; Smoothing methods;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1045-9243
  • Type

    jour

  • DOI
    10.1109/74.491288
  • Filename
    491288