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A New Approach of Constrained Interpolation Based on Cubic Hermite Splines

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  • J. Saeidian
  • M. Sarfraz
  • A. Azizi
  • S. Jalilian
  • Niansheng Tang

Abstract

Suppose we have a constrained set of data and wish to approximate it using a suitable function. It is natural to require the approximant to preserve the constraints. In this work, we state the problem in an interpolating setting and propose a parameter-based method and use the well-known cubic Hermite splines to interpolate the data with a constrained spline to provide with a C1 interpolant. Then, more smoothing constraints are added to obtain C2 continuity. Additionally, a minimization criterion is presented as a theoretical support to the proposed study; this is performed using linear programming. The proposed methods are demonstrated with illustrious examples.

Suggested Citation

  • J. Saeidian & M. Sarfraz & A. Azizi & S. Jalilian & Niansheng Tang, 2021. "A New Approach of Constrained Interpolation Based on Cubic Hermite Splines," Journal of Mathematics, Hindawi, vol. 2021, pages 1-10, August.
  • Handle: RePEc:hin:jjmath:5925163
    DOI: 10.1155/2021/5925163
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