| Title:
|
Data approximation using polyharmonic radial basis functions (English) |
| Author:
|
Segeth, Karel |
| Language:
|
English |
| Journal:
|
Programs and Algorithms of Numerical Mathematics |
| Volume:
|
Proceedings of Seminar. Hejnice, June 21-26, 2020 |
| Issue:
|
2020 |
| Year:
|
|
| Pages:
|
129-138 |
| . |
| Category:
|
math |
| . |
| Summary:
|
The paper is concerned with the approximation and interpolation employing polyharmonic splines in multivariate problems. The properties of approximants and interpolants based on these radial basis functions are shown. The methods of such data fitting are applied in practice to treat the problems of, e.g., geographic information systems, signal processing, etc. A simple 1D computational example is presented. (English) |
| Keyword:
|
polyharmonic spline |
| Keyword:
|
radial basis function |
| Keyword:
|
approximation |
| Keyword:
|
data fitting |
| Keyword:
|
interpolation |
| MSC:
|
41A63 |
| MSC:
|
65D07 |
| MSC:
|
65D10 |
| MSC:
|
65D12 |
| DOI:
|
10.21136/panm.2020.13 |
| . |
| Date available:
|
2021-05-05T13:42:30Z |
| Last updated:
|
2023-06-05 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/703108 |
| . |
