| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4639297 | Journal of Computational and Applied Mathematics | 2013 | 15 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Mira Bozzini, Milvia Rossini,