Skip to main content
Have a personal or library account? Click to login
The Matlab Radial Basis Function Toolbox Cover

The Matlab Radial Basis Function Toolbox

By: Scott A. Sarra  
Open Access
|Mar 2017

Figures & Tables

Figure 1

Interpolation of a smooth function using both double (F64) and quadruple (F128) precision. The script condVaccury.m produces the plots. Left: accuracy versus the shape parameter. Right: condition number of the system matrix versus the shape parameter.

Figure 2

Interpolation with (green solid) and without (blue dashed) regularization. The script mdiRegularization.m produces the plots. Left: accuracy versus the shape parameter. Right: system matrix condition versus the shape parameter.

Figure 3

1000 centers on the unit circle. Left: Hammersley points. Right: clustered Hamersley points.

Figure 4

Center distributions that result in centrosymmetric distance matrices. Left: 2000 centers based on clustered Hammersley points that have been extended centro symmetrically about the x axis. Right: 2524 centers on a domain enclosed by the curve f(θ)=3(cos(3t)+4sin(3t)2)13 that result in centrosymmetric distance matrices.

DOI: https://doi.org/10.5334/jors.131 | Journal eISSN: 2049-9647
Language: English
Submitted on: May 28, 2016
Accepted on: Jan 13, 2017
Published on: Mar 27, 2017
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Scott A. Sarra, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.