In the present study, the radial basis functions (RBF) are combined with polynomial basis functions to approximate the fractional derivatives specifically. We explore two new types of local support fields for the first time in the literature. In addition, we apply the RBF, combined with an appropriate number of polynomial basis functions featuring a new type of local support field to solve the single-term, multi-term ordinary fractional equations, time–space and two-side space fractional partial differential equations. Finally, the accuracy of the presented method is demonstrated via numerical experiments.</p
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
In this paper, a technique generally known as meshless method is presented for solving fractional pa...
One of the ongoing issues with fractional-order diffusion models is the design of efficient numerica...
Abstract: Radial basis function (RBF) interpolation methods are theoretically spectrally accurate. I...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
In this study, we propose a numerical discretization of space-time fractional partial differential e...
The radial basis functions collocation method is developed to solve Riesz space fractional advection...
One of the ongoing issues with fractional diffusion models is the design of an efficient high-order ...
In this paper, radial basis functions (RBFs) method was used to solve a fractional Black-Scholes-Sch...
In this article, radial basis function collocation scheme is adopted for the numerical solution of f...
In this work, we studied the radial point interpolation collocation method (RIPCM) for the solution ...
This thesis uses B-Polynomial bases to solve both one-dimensional and multi-dimensional linear and n...
Abstract A radial basis function method for solving time-fractional KdV equation is presented. The C...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017...
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
In this paper, a technique generally known as meshless method is presented for solving fractional pa...
One of the ongoing issues with fractional-order diffusion models is the design of efficient numerica...
Abstract: Radial basis function (RBF) interpolation methods are theoretically spectrally accurate. I...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
In this study, we propose a numerical discretization of space-time fractional partial differential e...
The radial basis functions collocation method is developed to solve Riesz space fractional advection...
One of the ongoing issues with fractional diffusion models is the design of an efficient high-order ...
In this paper, radial basis functions (RBFs) method was used to solve a fractional Black-Scholes-Sch...
In this article, radial basis function collocation scheme is adopted for the numerical solution of f...
In this work, we studied the radial point interpolation collocation method (RIPCM) for the solution ...
This thesis uses B-Polynomial bases to solve both one-dimensional and multi-dimensional linear and n...
Abstract A radial basis function method for solving time-fractional KdV equation is presented. The C...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017...
Abstract. Radial basis functions (RBF) is a recent methodology for scattered data interpolation, off...
In this paper, a technique generally known as meshless method is presented for solving fractional pa...
One of the ongoing issues with fractional-order diffusion models is the design of efficient numerica...