A MAPLE PACKAGE OF AUTOMATED DERIVATION OF HOMOTOPY ANALYSIS SOLUTION FOR PERIODIC NONLINEAR OSCILLATIONS

Yinping LIU ,hijun LIAO ,hibin LI

Journal of Systems Science & Complexity ›› 2012, Vol. 25 ›› Issue (3) : 594-616.

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Journal of Systems Science & Complexity ›› 2012, Vol. 25 ›› Issue (3) : 594-616. DOI: 10.1007/s11424-012-0043-3
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A MAPLE PACKAGE OF AUTOMATED DERIVATION OF HOMOTOPY ANALYSIS SOLUTION FOR PERIODIC NONLINEAR OSCILLATIONS

  • Yinping LIU1,hijun LIAO2,hibin LI3
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Abstract

Based on the homotopy analysis method, a general analytic technique for strongly nonlinear problems, a Maple package of automated derivation (ADHO) for periodic nonlinear oscillation systems is presented. This Maple package is valid for periodic oscillation systems in rather general, and can automatically deliver the accurate approximations of the frequency ω and the mean of motion δ of a nonlinear periodic oscillator. Based on the homotopy analysis method which is valid even for highly nonlinear problems, this Maple package can give accurate approximate expressions even for nonlinear oscillation systems with strong nonlinearity. Besides, the package is user-friendly: One just needs to input a governing equation and initial conditions, and then gets satisfied analytic approximations in few seconds. Several different types of examples are given in this paper to illustrate the validity of this Maple package. Such kind of package provides us a helpful and easy-to-use tool in science and engineering to analyze periodic nonlinear oscillations. And it is free to download the electronic version of this Maple package from the address “http://numericaltank.sjtu.edu.cn/sjliao.htm” once the paper is published publicly.

Key words

Automated derivation, homotopy analysis method, homotopy Pad´ / e technique, nonlinear oscillation, Wu&rsquo / s elimination method.

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Yinping LIU ,hijun LIAO ,hibin LI. A MAPLE PACKAGE OF AUTOMATED DERIVATION OF HOMOTOPY ANALYSIS SOLUTION FOR PERIODIC NONLINEAR OSCILLATIONS. Journal of Systems Science and Complexity, 2012, 25(3): 594-616 https://doi.org/10.1007/s11424-012-0043-3

Funding

This research is supported by the National Science Foundation of China under Grant No. 11071274.

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