Bayona Revilla, VíctorMoscoso, MiguelKindelan Segura, Manuel2022-12-022022-12-022011-08-10Bayona, V., Moscoso, M. & Kindelan, M. (2011). Optimal constant shape parameter for multiquadric based RBF-FD method. Journal of Computational Physics, 230(19), 7384-7399.0021-9991https://hdl.handle.net/10016/36145Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial differential equations (PDEs). Many types of RBFs used in these problems contain a shape parameter, and there is much experimental evidence showing that accuracy strongly depends on the value of this shape parameter. In this paper, we focus on PDE problems solved with a multiquadric based RBF finite difference (RBF-FD) method. We propose an efficient algorithm to compute the optimal value of the shape parameter that minimizes the approximation error. The algorithm is based on analytical approximations to the local RBF-FD error derived in [1]. We show through several examples in 1D and 2D, both with structured and unstructured nodes, that very accurate solutions (compared to finite differences) can be achieved using the optimal value of the constant shape parameter.16eng© 2011 Elsevier Inc. All rights reserved.Atribución-NoComercial-SinDerivadas 3.0 EspañaRadial basis functionsMultiquadricMesh-freeShape parameteresearch articleFísicaInformáticahttps://doi.org/10.1016/j.jcp.2011.06.005open access7384197399Journal of Computational Physics230AR/0000009380