Results, challenges and new steps on RBF approximation and computation
Stefano De Marchi, Nadaniela Egidi, Josephin Giacomini, Pierluigi Maponi
Abstract
We present an up-to-date overview of approximation methods based on Radial Basis Function (RBF) techniques, which have recently attracted attention across various computational tools and application fields. This review study presents relevant results on RBF techniques, highlighting the associated computational challenges and stability issues that must be addressed when high-performance or parallel computation is required.
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