| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9506478 | Applied Mathematics and Computation | 2005 | 13 Pages |
Abstract
Given the data (pi, ti, yi), i = 1, â¦, m, m ⩾ 3, we give necessary and sufficient conditions which guarantee the existence of the weighted least squares estimate for a Gaussian type function. To this end, we suggest a choice of the suitable initial approximation for an iterative minimization, and give some numerical examples.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Dragan JukiÄ, Rudolf Scitovski,