In this paper we present an efficient scheme for the computation of triangular Shepard method. More precisely, it is well known that the triangular Shepard method reaches an approximation order better than the Shepard one [4], but it needs to identify useful general triangulation of the node set. Here we propose a searching technique used to detect and select the nearest neighbor points in the interpolation scheme [2, 3]. It consists in determining the closest points belonging to the different neighborhoods and consequently applies to the triangulation-based approach. Numerical results show efficiency of the interpolation procedure.

An efficient technique for the interpolation on compact triangulations

Francesco Dell'Accio;Filomena Di Tommaso
2017-01-01

Abstract

In this paper we present an efficient scheme for the computation of triangular Shepard method. More precisely, it is well known that the triangular Shepard method reaches an approximation order better than the Shepard one [4], but it needs to identify useful general triangulation of the node set. Here we propose a searching technique used to detect and select the nearest neighbor points in the interpolation scheme [2, 3]. It consists in determining the closest points belonging to the different neighborhoods and consequently applies to the triangulation-based approach. Numerical results show efficiency of the interpolation procedure.
2017
978-84-617-8694-7
scattered data interpolation, triangular Shepard method, fast computation, approximation algorithms
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/271777
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact