Name
Abstract | ||
|---|---|---|
We derive a formula for weighted polynomial least squares approximation which expresses the approximant as a convex combination of interpolants. There is a similar formula for L2 approximation and the same principle applies to multivariate approximation. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jat.2019.105360 | Journal of Approximation Theory |
Keywords | Field | DocType |
Polynomial least squares approximation,Polynomial interpolation,Cauchy–Binet theorem | Applied mathematics,Convex combination,Multivariate statistics,Mathematical analysis,Mathematics,Polynomial least squares | Journal |
Volume | ISSN | Citations |
252 | 0021-9045 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingjun Chang | 1 | 0 | 0.34 |
| Chongyang Deng | 2 | 9 | 1.94 |
| Michael S. Floater | 3 | 1333 | 117.22 |