Loading...
Please wait, while we are loading the content...
Similar Documents
Monotone and convex interpolation by weighted cubic splines
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kvasov, Boris I. |
| Copyright Year | 2013 |
| Abstract | Algorithms for interpolating by weighted cubic splines are constructed with the aim of preserving the monotonicity and convexity of the original discrete data. The analysis performed in this paper makes it possible to develop two algorithms with the automatic choice of the shape-controlling parameters (weights). One of them preserves the monotonicity of the data, while the other preserves the convexity. Certain numerical results are presented. |
| Starting Page | 1428 |
| Ending Page | 1439 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.1134/S0965542513100102 |
| Volume Number | 53 |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1134/S0965542513100102 |
| Alternate Webpage(s) | https://doi.org/10.1134/S0965542513100102 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |