The Approximate Solving Methods for the Cubic Duffing Equation based on the Jacobi Elliptic Functions

Articles in the same Issue

1. CONTENTS
2. Generalized Variational Principle for Electromagnetic Field with Magnetic Monopoles by He's Semi-inverse Method
3. An Effective Modification of the Laplace Decomposition Method for Nonlinear Equations
4. Reconstruction of Variational Iteration Algorithms using the Laplace Transform
5. Fourier-series-based Variational Iteration Method for a Reliable Treatment of Heat Equations with Variable Coefficients
6. An Optimal Choice of Initial Solutions in the Homotopy Perturbation Method
7. Motion of Free Particles in Fractal Space-time
8. A New Vision of the He's Homotopy Perturbation Method
9. Two-fluid flow of Blood through Asymmetric and Axisymmetric Stenosed Narrow Arteries
10. A Simple Jerk System with Piecewise Exponential Nonlinearity
11. Predictive Modeling of the Hypothalamic-Pituitary-Adrenal (ΗΡΑ) Function. Dynamic Systems Theory Approach by Stoichiometric Network Analysis and Quenching Small Amplitude Oscillations
12. A Novel Method for Dynamic Simulation of Flexible Fibers in a 3D Swirling Flow
13. Synchronizability of dynamical Networks: Different Measures and Coincidence
14. The Approximate Solving Methods for the Cubic Duffing Equation based on the Jacobi Elliptic Functions
15. The Synchronization of Rössler hyperchaotic System with a Fractional Order
16. Variational Principle for Nonlinear Magneto-Electro-Elastodynamics with Finite Displacement by He's Semi-Inverse Method
17. Binomial Transforms of the k-Fibonacci Sequence
18. Dynamical Paradox in Theory of Lunar Motion
19. Enhancement of microfluidic mixing using harmonic and chaotic electric fields
20. Similarity solution of boundary layer flows for non-Newtonian fluids
21. Research on Periodic and Chaotic Oscillations of Composite Laminated Plates with One-to-One Internal Resonance
22. Orientation Distribution of Fibers Immersed in a Curved Expansion Duct
23. Chaotic Bayesian Method Based on Multiple Criteria Decision making (MCDM) for Forecasting Nonlinear Hydrological Time Series