Multilevel adaptive radial basis function approximation using error indicators
In some approximation problems, sampling from the target function can be both expensive and time-consuming. It would be convenient to have a method for indicating where the approximation quality is poor, so that generation of new data provides the user with greater accuracy where needed. In this the...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
University of Leicester
2016
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.696131 |