Numerical methods based on radial basis function-generated finite difference (RBF-FD) for solution of GKdVB equation

TL;DR: The experimental results have proved that the established AdaBoost-ISSA-S4VM classification model has good performance on labeled and unlabeled lung CT images.

TL;DR: In this paper, the local radial basis function generated by the finite difference (LRBF-FD) method is used for finding the approximation solution of the time-fractional fourth-order reaction-diffusion equation in the sense of the Riemann-Liouville derivative.

TL;DR: In this article, applied analysis research group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam b Department of Mathematics, Faculty Of Basic Sciences, Velayat University, Iranshar, Iran c Institute of Research and Development, Duy Tan University, Da Nang, Vietnam d Department of Mathematical Sciences, University of South Africa, UNISA, Pretoria, South Africa e Azerbaijan University, Baku, Azerbaijan f Institute of Mathematics And Mechanics, ANAS, BAZ, B Azerbaijan, Azerbaijan g Institute for Physical Problems

TL;DR: This paper addresses the solution of the Rayleigh–Stokes problem for an edge in a generalized Oldroyd-B fluid using fractional derivatives and the radial basis function-generated finite difference (RBF-FD) method.

TL;DR: In this paper, the authors propose a set of auxiliary tools from analysis and measure theory for radial basis function interpolation on spheres and other manifolds, including Native Spaces, Native spaces, Conditionally Positive definite functions, and Compactly supported functions.

TL;DR: In this paper, a radial basis function approximation on infinite grids is proposed, based on the wavelet method with radial basis functions (WBFF) with compact support, which is a general method for approximation and interpolation.

TL;DR: This book provides the salient theoretical results needed for a basic understanding of meshfree approximation methods with the emphasis here is on a hands-on approach that includes MATLAB routines for all basic operations.

TL;DR: In this paper, it was shown that multiquadric surface interpolation is always solvable, thereby settling a conjecture of R Franke, which is a conjecture that was later proved in the present paper.