We present a numerical method for the detection of faults and gradient faults of two dimensional functions when uniformly scattered and noisy data are given. The method recognizes the presence of a discontinuity curve by a suitable statistic. Moreover, we discuss the recovery of such curves and provide a computational bound for the pointwise error and convergence properties.

Bozzini, M., Rossini, M. (2013). The detection and recovery of discontinuity curves from scattered data. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 240, 148-162 [10.1016/j.cam.2012.06.014].

The detection and recovery of discontinuity curves from scattered data

BOZZINI, MARIA TUGOMIRA;ROSSINI, MILVIA FRANCESCA
2013

Abstract

We present a numerical method for the detection of faults and gradient faults of two dimensional functions when uniformly scattered and noisy data are given. The method recognizes the presence of a discontinuity curve by a suitable statistic. Moreover, we discuss the recovery of such curves and provide a computational bound for the pointwise error and convergence properties.
Articolo in rivista - Articolo scientifico
Discontinuity detection, garadient fault, fault
English
2013
240
148
162
none
Bozzini, M., Rossini, M. (2013). The detection and recovery of discontinuity curves from scattered data. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 240, 148-162 [10.1016/j.cam.2012.06.014].
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/10281/49049
Citazioni
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 17
Social impact