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• W4280586304 abstract "To save the manipulation cost for seeking a higher order approximation to enhance the accuracy of analytic solution, the present paper develops a novel perturbation method by linearizing the nonlinear ordinary differential equation (ODE) with respect to a zeroth order solution in advance, where a weight factor splits the nonlinear terms into two sides of the ODE. Consequently, a series of linear ODEs are solved sequentially to obtain higher order approximate analytic solutions, and meanwhile the frequency can be determined explicitly by solving a frequency equation. When the nonlinear problems are linearized to the Mathieu equations endowing with periodic forcing terms, we develop a novel homotopy perturbation method to determine their solutions, and then provide accurate formulas for nonlinear oscillators. For Duffing oscillator as an example, the accuracy of frequency obtained by the linearized homotopy perturbation method can be raised to 1 0 − 8 , and even for a huge value of nonlinear coefficient, the error is of the order 1 0 − 5 . A numerical procedure is developed to implement the proposed method, where the computed order of convergence reveals a linear convergence that the accuracy of n th order approximate solution is better than 1 0 − ( n + 1 ) . The super- and sub-harmonic periodic solutions are exhibited for the forced Duffing equation. • The proposed method is different from the conventional algorithms. • The numerical approach is accurate in the solutions of nonlinear oscillators and Mathieu equation. • Determining the weight factor can increase the accuracy in the period and frequency." @default.
• W4280586304 created "2022-05-22" @default.
• W4280586304 creator A5040175944 @default.
• W4280586304 creator A5090276712 @default.
• W4280586304 date "2022-10-01" @default.
• W4280586304 modified "2023-09-23" @default.
• W4280586304 title "A novel perturbation method to approximate the solution of nonlinear ordinary differential equation after being linearized to the Mathieu equation" @default.
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• W4280586304 doi "https://doi.org/10.1016/j.ymssp.2022.109261" @default.
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