• DocumentCode
    245791
  • Title

    Solving the Problem of Runge Phenomenon by Pseudoinverse Cubic Spline

  • Author

    Dechao Chen ; Tianjian Qiao ; Hongzhou Tan ; Mingming Li ; Yunong Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ. (SYSU), Guangzhou, China
  • fYear
    2014
  • fDate
    19-21 Dec. 2014
  • Firstpage
    1226
  • Lastpage
    1231
  • Abstract
    The Runge phenomenon illustrates that equidistant polynomial interpolation of the Runge function will cause wild oscillation near the endpoints of the interpolation interval as the order of the interpolation polynomial increases. In this paper, the pseudo inverse cubic spline (PCS) is presented to accurately approximate the Runge function at equidistant interpolation nodes and solve the problem of Runge phenomenon. PCS is constructed by employing the right pseudo inverse to figure out the minimum norm solution of the cubic spline´s second-order derivatives. Thus, unlike the traditional cubic splines that additionally rely on endpoint constraints, PCS only employs the information of interpolation nodes. By PCS, the Runge function is effectively approximated without causing oscillation. Numerical experiments substantiate the efficacy and accuracy of PCS.
  • Keywords
    Runge-Kutta methods; interpolation; splines (mathematics); PCS; Runge function; cubic spline second-order derivatives; equidistant polynomial interpolation; pseudoinverse cubic spline; Chebyshev approximation; Interpolation; Oscillators; Polynomials; Splines (mathematics); Endpoint constraints; Equidistant nodes; Interpolation; Pseudoinverse cubic spline (PCS); Runge phenomenon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-7980-6
  • Type

    conf

  • DOI
    10.1109/CSE.2014.237
  • Filename
    7023747