• DocumentCode
    1505897
  • Title

    Cubic-spline interpolation: part 2

  • Author

    Dyer, Stephen A. ; He, Xin

  • Volume
    4
  • Issue
    2
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    34
  • Lastpage
    36
  • Abstract
    The authors discuss an approach to approximation based on interpolating a set of points. The one interpolator that they concentrated on, the cubic spline, is relatively straightforward to implement and can be made to be computationally efficient. They also point out that another approach to approximation involves fitting a curve to a set of data points without forcing that curve to pass through any of those data points. This approach is especially useful when the data available is recognized to contain an error component
  • Keywords
    curve fitting; interpolation; splines (mathematics); cubic-spline interpolation; curve fitting; errors; set of points; Boundary conditions; Equations; Instruments; Interpolation; Joining processes; Piecewise linear techniques; Polynomials; Raman scattering; Sampling methods; Spectroscopy;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/5289.930984
  • Filename
    930984