Generalized Lagrange Jacobi Gauss-Lobatto (GLJGL) Collocation Method for Solving Linear and Nonlinear Fokker-Planck Equations

被引:0
|
作者
K.Parand [1 ,2 ]
S.Latifi [1 ]
M.M.Moayeri [1 ]
M.Delkhosh [1 ]
机构
[1] Department of Computer Sciences,Shahid Beheshti University
[2] Department of Cognitive Modeling,Institute for Cognitive and Brain Sciences,Shahid Beheshti University
关键词
Fokker-Planck equations; Generalized Lagrange functions; Generalized Lagrange Jacobi Gauss-Lobatto(GLJGL) collocation; Crank-Nicolson technique;
D O I
暂无
中图分类号
O241.82 [偏微分方程的数值解法];
学科分类号
摘要
In this study, we have constructed a new numerical approach for solving the time-dependent linear and nonlinear Fokker-Planck equations. In fact, we have discretized the time variable with Crank-Nicolson method and for the space variable, a numerical method based on Generalized Lagrange Jacobi Gauss-Lobatto(GLJGL) collocation method is applied. It leads to in solving the equation in a series of time steps and at each time step, the problem is reduced to a problem consisting of a system of algebraic equations that greatly simplifies the problem. One can observe that the proposed method is simple and accurate. Indeed, one of its merits is that it is derivative-free and by proposing a formula for derivative matrices, the difficulty aroused in calculation is overcome, along with that it does not need to calculate the General Lagrange basis and matrices; they have Kronecker property. Linear and nonlinear Fokker-Planck equations are given as examples and the results amply demonstrate that the presented method is very valid, effective,reliable and does not require any restrictive assumptions for nonlinear terms.
引用
收藏
页码:519 / 531
页数:13
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