Automatic computation of the travelling wave solutions to nonlinear PDEs

作者：Liang Songxin^*; Jeffrey David J

来源：Computer Physics Communications, 2008, 178(9): 700-712.

DOI：10.1016/j.cpc.2007.12.004

• nonlinear partial differential equation
• travelling wave solution
• tanh-function method
• symbolic computation
• exact solution

Various extensions of the tanh-function method and their implementations for finding explicit travelling wave solutions to nonlinear partial differential equations (PDEs) have been reported in the literature. However, some solutions are often missed by these packages. In this paper, a new algorithm and its implementation called TWS for solving single nonlinear PDEs are presented. TWS is implemented in MAPLE 10. It turns out that, for PDEs whose balancing numbers are not positive integers, TWS works much better than existing packages. Furthermore, TWS obtains more solutions than existing packages for most cases.
Program summary
Program title: TWS
Catalogue identifier: AEAM_v1_0
Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEAM_v1_0.html
Program obtainable from: CPC Program Library, Queen's University, Belfast, N.
Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html
No. of lines in distributed program, including test data, etc.: 1250
No. of bytes in distributed program, including test data, etc.: 78 101
Distribution formal: tar.gz
Programming language: Maple 10
Computer: A laptop with 1.6 GHz Pentium CPU
Operating system: Windows XP Professional RAM: 760 Mbytes
Classification: 5
Nature of problem: Finding the travelling wave solutions to single nonlinear PDEs.
Solution method: Based on tanh-function method.
Restrictions: The current version of this package can only deal with single autonomous PDEs or ODEs, not systems of PDEs or ODEs. However, the PDEs can have any finite number of independent space variables in addition to time t.
Unusual features: For PDEs whose balancing numbers are not positive integers, TWS works much better than existing packages. Furthermore, TWS obtains more solutions than existing packages for most cases.
Additional comments: It is easy to use.
Running time: Less than 20 seconds for most cases, between 20 to 100 seconds for some cases, over 100 seconds for few cases.
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• 出版日期2008-5-1