On choosing “optimal” shape parameters for RBF approximation

By Gregory E. Fasshauer, Jack G. Zhang. Numerical Algorithms, 2007

649 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/ae40a64a2b03ba1b86daeffc64dc656f880921f4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. M. Hillier
2. Eric A. de Kemp
3. Ernst M. Schetselaar
4. Gervais Perron

In Mechanics of Materials

1. M. Hillier
2. Eric A. de Kemp
3. Ernst M. Schetselaar
4. Gervais Perron

Citations in the corpus

• Three-Dimensional Modelling of Geological Surfaces Using Generalized Interpolation with Radial Basis Functions (2014, methodology): “It is important to note that numerical techniques, such as leave one out cross validation (LOOCV), are available to optimally choose the best RBF and, if applicable, the shape parameter ε, using a particular dataset (Fasshauer 2007b; Scheuerer et al. 2013).”