“…RBFs have become powerful tools in multivariate interpolation and approximation theory, since they are easy to implement, allow arbitrary scattered data, and can be spectrally accurate. They are also often used to solve numerical partial differential equations (PDEs) [67,22,63,57,66,72,83,54,55]. In this regard, although RBFs are considered to be a viable alternative to traditional methods such as finite difference (FD), finite element (FE) and spectral methods, investigations into their stability are still underdeveloped and/or unsatisfactory.…”