© 2020 The method of fundamental solutions (MFS) is a simple and efficient numerical technique for solving certain homogenous partial differential equations (PDEs) which can be extended to solving inhomogeneous equations through the method of particular solutions (MPS). In this paper, radial basis functions (RBFs) are considered as the basis functions for the construction of a particular solution of the inhomogeneous equation. A hybrid method coupling these two methods using both fundamental solutions and RBFs as basis functions has been effective for solving a large class of PDEs. In this paper, we propose an improved fictitious points method in which the centres of the RBFs are distributed inside and outside the physical domain of the pro...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
In this dissertation we propose and examine numerical methods for solving the boundary value problem...
The main attraction of using radial basis functions (RBFs) for generating finite difference type app...
© 2020 The method of fundamental solutions (MFS) is a simple and efficient numerical technique for s...
The fictitious boundary surrounding the domain is required in the implementation of the method of fu...
Method of particular solutions (MPS) has been implemented in many science and engineering problems b...
A meshless method for solving partial differential equations (PDEs) which combines the method of fun...
The method of fundamental solutions (MFS) is a highly accurate numerical method for solving homogene...
A new version of the method of approximate particular solutions (MAPSs) using radial basis functions...
AbstractIn this study we investigate the approximation of the solutions of harmonic problems subject...
In this paper we apply the newly developed method of particular solutions (MPS) and one-stage method...
In this paper, the method of particular solutions (MPS) using trigonometric functions as the basis f...
The method of approximate particular solutions (MAPS) was first proposed by Chen et al. in Chen, Fan...
The method of fundamental solutions (MFS) is a meshless method for solving boundary value problems w...
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
In this dissertation we propose and examine numerical methods for solving the boundary value problem...
The main attraction of using radial basis functions (RBFs) for generating finite difference type app...
© 2020 The method of fundamental solutions (MFS) is a simple and efficient numerical technique for s...
The fictitious boundary surrounding the domain is required in the implementation of the method of fu...
Method of particular solutions (MPS) has been implemented in many science and engineering problems b...
A meshless method for solving partial differential equations (PDEs) which combines the method of fun...
The method of fundamental solutions (MFS) is a highly accurate numerical method for solving homogene...
A new version of the method of approximate particular solutions (MAPSs) using radial basis functions...
AbstractIn this study we investigate the approximation of the solutions of harmonic problems subject...
In this paper we apply the newly developed method of particular solutions (MPS) and one-stage method...
In this paper, the method of particular solutions (MPS) using trigonometric functions as the basis f...
The method of approximate particular solutions (MAPS) was first proposed by Chen et al. in Chen, Fan...
The method of fundamental solutions (MFS) is a meshless method for solving boundary value problems w...
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural...
Meshless methods are relatively new numerical methods which have gained popularity in computational ...
In this dissertation we propose and examine numerical methods for solving the boundary value problem...
The main attraction of using radial basis functions (RBFs) for generating finite difference type app...