Radial basis function (RBF) has been widely used in many scientific computing and engineering applications, for instance, multidimensional scattered data interpolation and solving partial differential equations. However, the accuracy and stability of the RBF methods often strongly depend on the shape parameter. A coupled RBF (CRBF) method was proposed recently and successfully applied to solve the Poisson equation and the heat transfer equation (Appl. Math. Lett., 2019, 97: 93–98). Numerical results show that the CRBF method completely overcomes the troublesome issue of the optimal shape parameter that is a formidable obstacle to global schemes. In this paper, we further extend the CRBF method to solve the elastostatic problems. Discretizat...
Partial differential equations (PDEs) describe complex real-world phenomena such as weather dynamics...
It is well known that the accuracy of several radial basis function (RBF) methods, including those b...
The traditional radial basis function collocation method (RBFCM) has poor stability when solving two...
In this paper, a new hybrid radial basis function collocation method (HRBF-CM) is proposed to help r...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
Multidimensional elastostatic problems can be solved by a collocation method using radial basis func...
One of the attractive and practical techniques to transform the domain integrals to equivalent bound...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Solving partial differential equations (PDEs) can require numerical methods, especially for non-line...
AbstractThis paper presents an operator splitting-radial basis function (OS-RBF) method as a generic...
We investigate the influence of the shape parameter in the meshless Gaussian RBF finite difference m...
A local radial basis function method (LRBF) is applied for the solution of boundary value problems i...
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
Strong-form meshless methods received much attention in recent years and are being extensively resea...
Partial differential equations (PDEs) describe complex real-world phenomena such as weather dynamics...
It is well known that the accuracy of several radial basis function (RBF) methods, including those b...
The traditional radial basis function collocation method (RBFCM) has poor stability when solving two...
In this paper, a new hybrid radial basis function collocation method (HRBF-CM) is proposed to help r...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
Multidimensional elastostatic problems can be solved by a collocation method using radial basis func...
One of the attractive and practical techniques to transform the domain integrals to equivalent bound...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Solving partial differential equations (PDEs) can require numerical methods, especially for non-line...
AbstractThis paper presents an operator splitting-radial basis function (OS-RBF) method as a generic...
We investigate the influence of the shape parameter in the meshless Gaussian RBF finite difference m...
A local radial basis function method (LRBF) is applied for the solution of boundary value problems i...
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
Strong-form meshless methods received much attention in recent years and are being extensively resea...
Partial differential equations (PDEs) describe complex real-world phenomena such as weather dynamics...
It is well known that the accuracy of several radial basis function (RBF) methods, including those b...
The traditional radial basis function collocation method (RBFCM) has poor stability when solving two...