Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11960/2885
Title: Defining and computing cubic splines
Authors: Mesquita, Teresa A.
Keywords: Curve fitting
Polynomial rigidity
Piecewise interpolation
Numerical stability
Cubic splines
Octave 4.0.0
Issue Date: 21-May-2018
Citation: Mesquita, T. A. (2018). Defining and computing cubic splines. The Mathematics Student, 87(1-2), 119-127. https://www.indianmathsociety.org.in/ms.htm
Abstract: In this note we address the students’ usual misperception of the cubic spline definition and construction within an undergraduate numerical course in order to present an alternative initial approach. We describe succinctly the standard path from the interpolating polynomial towards a smooth piecewise interpolation model and we focus on a simpler, though unstable, cubic spline structure. This less common choice aims to promote a more comprehensible dialogue between the notion of cubic spline functions and the numerical (in)adequacy of different methods for computing such functions.
URI: http://hdl.handle.net/20.500.11960/2885
ISSN: 0025-5742
Appears in Collections:ESTG - Artigos indexados a outros indexadores

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