The main aim of this paper is to present a hybrid scheme of both meshless Galerkin and reproducing kernel Hilbert space methods. The Galerkin meshless method is a powerful tool for solving a large class of multi-dimension problems. Reproducing kernel Hilbert space method is an extremely efficient approach to obtain an analytical solution for ordinary or partial differential equations appeared in vast areas of science and engineering. The error analysis and convergence show that the proposed mixed method is very efficient. Since the solution space spanned by radial basis functions do not directly satisfy essential boundary conditions, an auxiliary parameterized technique is employed. Theoretical studies indicate that this new method is very ...
This paper is concerned with a technique for solving a class of nonlinear systems of partial differe...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Meshless methods using radial basis functions (RBF) are an attractive alternative to grid based meth...
The main aim of this paper is to present a hybrid scheme of both meshless Galerkin and reproducing k...
Abstract. We combine the theory of radial basis functions with the field of Galerkin methods to solv...
We combine the theory of radial basis functions with the field of Galerkin methods to solve partial ...
This paper presents a new radial-basis-function (RBF) technique for solving elliptic differential eq...
This paper describes a high-order Galerkin technique, which is based on indirect/integrated radial-b...
AbstractIn this paper, a numerical method is given for partial differential equations, which combine...
In this dissertation we propose and examine numerical methods for solving the boundary value problem...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
AbstractThe parabolic problems with non-classical conditions are discussed in a reproducing kernel s...
This paper is concerned with the use of integrated radial basis function networks (IRBFNs) for the d...
Solving partial differential equations (PDEs) can require numerical methods, especially for non-line...
This paper is concerned with a technique for solving a class of nonlinear systems of partial differe...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Meshless methods using radial basis functions (RBF) are an attractive alternative to grid based meth...
The main aim of this paper is to present a hybrid scheme of both meshless Galerkin and reproducing k...
Abstract. We combine the theory of radial basis functions with the field of Galerkin methods to solv...
We combine the theory of radial basis functions with the field of Galerkin methods to solve partial ...
This paper presents a new radial-basis-function (RBF) technique for solving elliptic differential eq...
This paper describes a high-order Galerkin technique, which is based on indirect/integrated radial-b...
AbstractIn this paper, a numerical method is given for partial differential equations, which combine...
In this dissertation we propose and examine numerical methods for solving the boundary value problem...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
AbstractThe parabolic problems with non-classical conditions are discussed in a reproducing kernel s...
This paper is concerned with the use of integrated radial basis function networks (IRBFNs) for the d...
Solving partial differential equations (PDEs) can require numerical methods, especially for non-line...
This paper is concerned with a technique for solving a class of nonlinear systems of partial differe...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Meshless methods using radial basis functions (RBF) are an attractive alternative to grid based meth...