Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Reconstruction of surfaces from a not large data set by interpolation

Academic Article
Publication Date:
2005
abstract:
Many papers discuss the problem of recovering a function when a set of data is known on a domain $\Omega\subset {\cal R}^2$. Most of these papers assume that the size of the data set is large. At our knowledge, little or practically nothing is said about the case in which the sample has a size that is moderate. In this paper we tackle this problem. We indicate a way for its solution and hence we give a concrete example. Some numerical experiments are shown.
Iris type:
01.01 Articolo in rivista
List of contributors:
Lenarduzzi, Licia
Handle:
https://iris.cnr.it/handle/20.500.14243/436944
Published in:
RENDICONTI DI MATEMATICA E DELLE SUE APPLICAZIONI
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)