Comparison of Shepard’s Like Methods with Different Basis Functions

  • Francesco Dell’Accio
  • Filomena Di TommasoEmail author
  • Domenico Gonnelli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11973)


The problem of reconstruction of an unknown function from a finite number of given scattered data is well known and well studied in approximation theory. The methods developed with this goal are several and are successfully applied in different contexts. Due to the need of fast and accurate approximation methods, in this paper we numerically compare some variation of the Shepard method obtained by considering different basis functions.


Shepard methods Interpolation Quasi-interpolation 



This work was partially supported by the INdAM-GNCS 2019 research project “Kernel-based approximation, multiresolution and subdivision methods and related applications”. This research has been accomplished within RITA (Research ITalian network on Approximation).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mathematics and Computer ScienceUniversity of CalabriaRendeItaly
  2. 2.NTT DATA ItaliaRendeItaly

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