Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4626067 | Applied Mathematics and Computation | 2016 | 9 Pages |
Abstract
In this paper, we study the generalization of the reduced differential transform method to (n+1)(n+1)-dimensional case, thus, the partial differential equations (PDEs) can be solved efficiently. One distinctive practical feature of this method is that it is applied without using discretization, or restrictive assumptions, the other is that large computational work and round-off errors are avoided. We employ the proposed method on a few initial value problems to illustrate it is highly accurate and more efficient. Hence, our method is a powerful method for solving the PDEs and problems arising in physics, engineering area, and so on.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Jianping Yu, Jian Jing, Yongli Sun, Suping Wu,