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Haar wavelet approach to nonlinear stiff systems

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  • Hsiao, Chun-Hui
  • Wang, Wen-June

Abstract

A simple and effective algorithm based on Haar wavelet is proposed to the solution of nonlinear stiff problems in this paper. The simulation result shows that the whole computation time can be reduced to one tenth of the well-known Runge–Kutta–Fehlberg approach, while the accuracy is nearly the same.

Suggested Citation

  • Hsiao, Chun-Hui & Wang, Wen-June, 2001. "Haar wavelet approach to nonlinear stiff systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 57(6), pages 347-353.
  • Handle: RePEc:eee:matcom:v:57:y:2001:i:6:p:347-353
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    References listed on IDEAS

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    1. Hsiao, Chun-Hui, 1997. "State analysis of linear time delayed systems via Haar wavelets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 44(5), pages 457-470.
    2. Hsiao, Chun-Hui & Wang, Wen-June, 1999. "State analysis of time-varying singular nonlinear systems via Haar wavelets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 51(1), pages 91-100.
    3. Hsiao, Chun-Hui & Wang, Wen-June, 2000. "State analysis of time-varying singular bilinear systems via Haar wavelets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 52(1), pages 11-20.
    4. C. H. Hsiao & W. J. Wang, 1999. "Optimal Control of Linear Time-Varying Systems via Haar Wavelets," Journal of Optimization Theory and Applications, Springer, vol. 103(3), pages 641-655, December.
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    Cited by:

    1. Singh, Randhir & Guleria, Vandana & Singh, Mehakpreet, 2020. "Haar wavelet quasilinearization method for numerical solution of Emden–Fowler type equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 123-133.
    2. Usman, Muhammad & Hamid, Muhammad & Liu, Moubin, 2021. "Novel operational matrices-based finite difference/spectral algorithm for a class of time-fractional Burger equation in multidimensions," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    3. Lepik, Ü., 2005. "Numerical solution of differential equations using Haar wavelets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(2), pages 127-143.
    4. Siraj-ul-Islam, & Haider, Nadeem & Aziz, Imran, 2018. "Meshless and multi-resolution collocation techniques for parabolic interface models," Applied Mathematics and Computation, Elsevier, vol. 335(C), pages 313-332.
    5. Xuan Liu & Muhammad Ahsan & Masood Ahmad & Muhammad Nisar & Xiaoling Liu & Imtiaz Ahmad & Hijaz Ahmad, 2021. "Applications of Haar Wavelet-Finite Difference Hybrid Method and Its Convergence for Hyperbolic Nonlinear Schr ö dinger Equation with Energy and Mass Conversion," Energies, MDPI, vol. 14(23), pages 1-17, November.
    6. Karabulut, Gokhan & Bilgin, Mehmet Huseyin & Doker, Asli Cansin, 2020. "The relationship between commodity prices and world trade uncertainty," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 276-281.
    7. Ahsan, Muhammad & Lei, Weidong & Bohner, Martin & Khan, Amir Ali, 2024. "A high-order multi-resolution wavelet method for nonlinear systems of differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 215(C), pages 543-559.
    8. Hsiao, Chun-Hui, 2015. "A Haar wavelets method of solving differential equations characterizing the dynamics of a current collection system for an electric locomotive," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 928-935.
    9. Pervaiz, Nosheen & Aziz, Imran, 2020. "Haar wavelet approximation for the solution of cubic nonlinear Schrodinger equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    10. Tian, Yongge & Herzberg, Agnes M., 2006. "A-minimax and D-minimax robust optimal designs for approximately linear Haar-wavelet models," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2942-2951, June.

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