When the data are unevenly distributed and the behaviour of a function changes abruptly, the approximant can present undue oscillations. We present an algorithm to identify a domain decomposition, such that on each subdomain the behaviour of the function is sufficiently homogeneous in order to calculate separate approximants and to blend them together. © 2013 IMACS. Published by Elsevier B.V. All rights reserved.

Bozzini, M., Lenarduzzi, L. (2014). Recovering functions: A method based on domain decomposition. MATHEMATICS AND COMPUTERS IN SIMULATION, 99, 95-107 [10.1016/j.matcom.2013.04.004].

Recovering functions: A method based on domain decomposition

BOZZINI, MARIA TUGOMIRA;
2014

Abstract

When the data are unevenly distributed and the behaviour of a function changes abruptly, the approximant can present undue oscillations. We present an algorithm to identify a domain decomposition, such that on each subdomain the behaviour of the function is sufficiently homogeneous in order to calculate separate approximants and to blend them together. © 2013 IMACS. Published by Elsevier B.V. All rights reserved.
Articolo in rivista - Articolo scientifico
Computational topology; Contour tree; Scattered data fitting
English
2014
99
95
107
none
Bozzini, M., Lenarduzzi, L. (2014). Recovering functions: A method based on domain decomposition. MATHEMATICS AND COMPUTERS IN SIMULATION, 99, 95-107 [10.1016/j.matcom.2013.04.004].
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/10281/53921
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
Social impact