An adaptive LOOCV-based refinement scheme for RBF collocation methods over irregular domains

Volume: 103, Pages: 106178 - 106178
Published: May 1, 2020
Abstract
In this paper we enhance the adaptive scheme presented in Cavoretto and De Rossi (2019) for solving elliptic boundary value problems via RBF collocation methods. More precisely, this study concerns a leave one out cross validation technique applied as an error estimate and used in the adaptive refinement process. The modified algorithm we propose here allows us to get numerical convergence also when L-shape or irregular domains are considered....
Paper Details
Title
An adaptive LOOCV-based refinement scheme for RBF collocation methods over irregular domains
Published Date
May 1, 2020
Volume
103
Pages
106178 - 106178
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.