Abstract: Radial basis function (RBF) interpolation methods are theoretically spectrally accurate. In applications this accuracy is seldom realized due to the necessity of solving a very poorly conditioned linear system to evaluate the methods. Some numerical methods such as Adomian decomposition method and Homotopy perturbation method works for a family of fractional differential equations. In this work, we approximate the exact solution by use of Radial Basis Functions method (RBF). It is important to note that the RBF method finally converges to a linear system and we can solve that system very easily by some Math Microsoft such as MAPLE, MATLAB or MATHEMATICA. Our results show the accurate of this method for these kinds of differential ...
WOS: 000394613300009In this paper we propose a numerical scheme for the solution of fractional order...
Abstract A radial basis function method for solving time-fractional KdV equation is presented. The C...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
In the present study, the radial basis functions (RBF) are combined with polynomial basis functions ...
The radial basis functions collocation method is developed to solve Riesz space fractional advection...
2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
One of the ongoing issues with fractional diffusion models is the design of an efficient high-order ...
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
Abstract.In this paper, a technique generally known as meshless numerical scheme for solving fractio...
We propose an efficient algorithm for the approximation of functions and their derivatives using rad...
In this paper, radial basis functions (RBFs) method was used to solve a fractional Black-Scholes-Sch...
In this paper, a technique generally known as meshless method is presented for solving fractional pa...
In this study, we propose a numerical discretization of space-time fractional partial differential e...
Abstract. Radial basis function (RBF) approximation has the potential to provide spectrally accurate...
WOS: 000394613300009In this paper we propose a numerical scheme for the solution of fractional order...
Abstract A radial basis function method for solving time-fractional KdV equation is presented. The C...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
In the present study, the radial basis functions (RBF) are combined with polynomial basis functions ...
The radial basis functions collocation method is developed to solve Riesz space fractional advection...
2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
One of the ongoing issues with fractional diffusion models is the design of an efficient high-order ...
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
Abstract.In this paper, a technique generally known as meshless numerical scheme for solving fractio...
We propose an efficient algorithm for the approximation of functions and their derivatives using rad...
In this paper, radial basis functions (RBFs) method was used to solve a fractional Black-Scholes-Sch...
In this paper, a technique generally known as meshless method is presented for solving fractional pa...
In this study, we propose a numerical discretization of space-time fractional partial differential e...
Abstract. Radial basis function (RBF) approximation has the potential to provide spectrally accurate...
WOS: 000394613300009In this paper we propose a numerical scheme for the solution of fractional order...
Abstract A radial basis function method for solving time-fractional KdV equation is presented. The C...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...