Spectral Fixed Point Method for Nonlinear Oscillation Equation with Periodic SolutionReportar como inadecuado




Spectral Fixed Point Method for Nonlinear Oscillation Equation with Periodic Solution - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Mathematical Problems in EngineeringVolume 2013 2013, Article ID 538716, 9 pages

Research Article

State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace, Xi’an Jiaotong University, No. 28 Xianning West Road, Xi’an 710049, China

School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, China

Received 16 September 2013; Accepted 23 October 2013

Academic Editor: Massimo Scalia

Copyright © 2013 Ding Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Based on the fixed point concept in functional analysis, an improvement on the traditional spectral method is proposed for nonlinear oscillation equations with periodic solution. The key idea of this new approach namely, the spectral fixed point method, SFPM is to construct a contractive map to replace the nonlinear oscillation equation into a series of linear oscillation equations. Usually the series of linear oscillation equations can be solved relatively easily. Different from other existing numerical methods, such as the well-known Runge-Kutta method, SFPM can directly obtain the Fourier series solution of the nonlinear oscillation without resorting to the Fast Fourier Transform FFT algorithm. In the meanwhile, the steepest descent seeking algorithm is proposed in the framework of SFPM to improve the computational efficiency. Finally, some typical cases are investigated by SFPM and the comparison with the Runge-Kutta method shows that the present method is of high accuracy and efficiency.





Autor: Ding Xu, Xian Wang, and Gongnan Xie

Fuente: https://www.hindawi.com/



DESCARGAR PDF




Documentos relacionados