Evenly Spaced Data Points and Radial Basis Functions
Lin-Tian Luh
TL;DR
This paper investigates how evenly spaced data points affect the performance and accuracy of radial basis function interpolation methods.
Contribution
It provides new insights into the role of data point distribution in improving RBF interpolation accuracy.
Findings
Evenly spaced points enhance interpolation stability.
Certain RBFs perform better with evenly spaced data.
Guidelines for data point placement in RBF methods.
Abstract
This article explores the influence of evenly spaced data points on radial-basis-function interpolation.
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