One of the most powerful tools for solving partial differential equations is approximation using the radial basis functions (RBFs). This method can be very spectrally accurate …
The present article develops a semi-discrete numerical scheme to solve the time-fractional stochastic advection–diffusion equations. This method, which is based on finite difference …
F Mirzaee, S Rezaei… - International Journal of …, 2021 - Wiley Online Library
In the current work, we consider the nonlinear one‐dimensional stochastic Sine‐Gordon equation with appropriate initial and boundary conditions. The main goal of this work is …
AH Bhrawy - Applied Mathematics and Computation, 2013 - Elsevier
In this paper, we propose a new Jacobi–Gauss–Lobatto collocation method for solving the generalized Fitzhugh–Nagumo equation. The Jacobi–Gauss–Lobatto points are used as …
The explicit Euler scheme and similar explicit approximation schemes (such as the Milstein scheme) are known to diverge strongly and numerically weakly in the case of one …
M Dehghan, M Shirzadi - Engineering Analysis with Boundary Elements, 2015 - Elsevier
In this paper, a numerical technique is proposed for solving the stochastic advection– diffusion equations. Firstly, using the finite difference scheme, we transform the stochastic …
M Dehghan, M Shirzadi - Engineering Analysis with Boundary Elements, 2015 - Elsevier
This paper proposes a numerical method based on the dual reciprocity boundary elements method (DRBEM) to solve the stochastic partial differential equations (SPDEs). The concept …
In this paper, we present a high-order approach for solving one-and two-dimensional time- space fractional diffusion equations (FDEs) with Caputo-Riesz derivatives. To design the …
In this paper, a stochastic space fractional advection diffusion equation of Itô type with one- dimensional white noise process is presented. The fractional derivative is defined in the …