In this paper a new fast and flexible interpolation tool is shown. The Partition of Unity Method (PUM) is performed using Radial Basis Functions (RBFs) as local approximants. In particular, we present a new space-partitioning data structure extremely useful in applications because of its independence from the problem geometry. An application of such algorithm, in the context of wild herbivores in forests, shows that the ecosystem of the considered natural park is in a very delicate situation, for which the animal population could become extinguished. The determination of the so-called sensitivity surfaces, obtained with the new versatile partitioning structure, indicates some possible preventive measures to the park administrators.

Fast and flexible interpolation via PUM with applications in population dynamics

CAVORETTO, Roberto;DE ROSSI, Alessandra;PERRACCHIONE, EMMA
2016-01-01

Abstract

In this paper a new fast and flexible interpolation tool is shown. The Partition of Unity Method (PUM) is performed using Radial Basis Functions (RBFs) as local approximants. In particular, we present a new space-partitioning data structure extremely useful in applications because of its independence from the problem geometry. An application of such algorithm, in the context of wild herbivores in forests, shows that the ecosystem of the considered natural park is in a very delicate situation, for which the animal population could become extinguished. The determination of the so-called sensitivity surfaces, obtained with the new versatile partitioning structure, indicates some possible preventive measures to the park administrators.
2016
ICNAAM 2015 - AIP Conference Proceedings
AIP Publishing
1738
390005
390005
http://arxiv.org/abs/1512.03934
partition of unity method, fast searching procedures, sensitivity surfaces, population models
Cavoretto, Roberto; De Rossi, Alessandra; Perracchione, Emma
File in questo prodotto:
File Dimensione Formato  
AIP_16.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 236.66 kB
Formato Adobe PDF
236.66 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/2318/1583733
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact