This paper presents the local radial basis function based on finite difference (LRBF-FD) for the sine-Gordon equation. Advantages of the proposed method are that this method is mesh free unlike finite difference (FD) and finite element (FE) methods, and its coefficient matrix is sparse and well-conditioned as compared with the global RBF collocation method (GRBF). Numerical results show that the LRBF-FD method has good accuracy as compared with GRBF
Nonlinear partial differential equations are often used to understand and modelnonlinear processes a...
The radial basis function (RBF) method, especially the multiquadric (MQ) function, was proposed for ...
Radial Basis Functions (RBFs) are a powerful numerical methodology for solving PDEs to high accuracy...
Accuracy of radial basis functions (RBFs) is increased as the shape parameter decreases and produces...
A numerical method based on radial basis functions (RBFs) is pro-posed for the numerical solution of...
Radial basis function-generated finite differences (RBF-FD) is a mesh-free method for numerically so...
In this paper, a meshless method of lines (MOL) is applied for the numerical solution of nonlinear s...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
This book surveys the latest advances in radial basis function (RBF) meshless collocation methods wh...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
In recent years radial basis function collocation has become a useful alternative to finite differe...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
In this paper we present a localized meshless method using radial basis functions (RBFs) for solving...
Abstract A numerical solution for Sine-Gordon type system was done by the use of two finite differ...
Radial basis function generated finite differences (RBF-FD) is a mesh-free method for nu-merically s...
Nonlinear partial differential equations are often used to understand and modelnonlinear processes a...
The radial basis function (RBF) method, especially the multiquadric (MQ) function, was proposed for ...
Radial Basis Functions (RBFs) are a powerful numerical methodology for solving PDEs to high accuracy...
Accuracy of radial basis functions (RBFs) is increased as the shape parameter decreases and produces...
A numerical method based on radial basis functions (RBFs) is pro-posed for the numerical solution of...
Radial basis function-generated finite differences (RBF-FD) is a mesh-free method for numerically so...
In this paper, a meshless method of lines (MOL) is applied for the numerical solution of nonlinear s...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
This book surveys the latest advances in radial basis function (RBF) meshless collocation methods wh...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
In recent years radial basis function collocation has become a useful alternative to finite differe...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
In this paper we present a localized meshless method using radial basis functions (RBFs) for solving...
Abstract A numerical solution for Sine-Gordon type system was done by the use of two finite differ...
Radial basis function generated finite differences (RBF-FD) is a mesh-free method for nu-merically s...
Nonlinear partial differential equations are often used to understand and modelnonlinear processes a...
The radial basis function (RBF) method, especially the multiquadric (MQ) function, was proposed for ...
Radial Basis Functions (RBFs) are a powerful numerical methodology for solving PDEs to high accuracy...