M. Khodabin
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
[ 1 ] - Approximate solution of the stochastic Volterra integral equations via expansion method
In this paper, we present an efficient method for determining the solution of the stochastic second kind Volterra integral equations (SVIE) by using the Taylor expansion method. This method transforms the SVIE to a linear stochastic ordinary differential equation which needs specified boundary conditions. For determining boundary conditions, we use the integration technique. This technique give...
[ 2 ] - Computational method based on triangular operational matrices for solving nonlinear stochastic differential equations
In this article, a new numerical method based on triangular functions for solving nonlinear stochastic differential equations is presented. For this, the stochastic operational matrix of triangular functions for It^{o} integral are determined. Computation of presented method is very simple and attractive. In addition, convergence analysis and numerical examples that illustrate accuracy and eff...
[ 3 ] - Series expansion of Wiener integrals via block pulse functions
In this paper, a suitable numerical method based on block pulse functions is introduced to approximate the Wiener integrals which the exact solution of them is not exist or it may be so hard to find their exact solutions. Furthermore, the error analysis of this method is given. Some numerical examples are provided which show that the approximation method has a good degree of accuracy. The main ...
[ 4 ] - An optimal method based on rationalized Haar wavelet for approximate answer of stochastic Ito-Volterra integral equations
This article proposes an optimal method for approximate answer of stochastic Ito-Voltrra integral equations, via rationalized Haar functions and their stochastic operational matrix of integration. Stochastic Ito-voltreea integral equation is reduced to a system of linear equations. This scheme is applied for some examples. The results show the efficiency and accuracy of the method.
نویسندگان همکار