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Comparison of the Selected Methods Used for Solving the Ordinary Differential Equations and Their Systems

Author

Listed:
  • Edyta Hetmaniok

    (Faculty of Applied Mathematics, Silesian Technical University of Gliwice, 44-100 Gliwice, Slaskie, Poland
    These authors contributed equally to this work.)

  • Mariusz Pleszczyński

    (Faculty of Applied Mathematics, Silesian Technical University of Gliwice, 44-100 Gliwice, Slaskie, Poland
    These authors contributed equally to this work.)

Abstract

Ordinary differential equations (ODEs), and the systems of such equations, are used for describing many essential physical phenomena. Therefore, the ability to efficiently solve such tasks is important and desired. The goal of this paper is to compare three methods devoted to solving ODEs and their systems, with respect to the quality of obtained solutions, as well as the speed and reliability of working. These approaches are the classical and often applied Runge–Kutta method of order 4 (RK4), the method developed on the ground of the Taylor series, the differential transformation method (DTM), and the routine available in the Mathematica software (Mat).

Suggested Citation

  • Edyta Hetmaniok & Mariusz Pleszczyński, 2022. "Comparison of the Selected Methods Used for Solving the Ordinary Differential Equations and Their Systems," Mathematics, MDPI, vol. 10(3), pages 1-15, January.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:3:p:306-:d:728307
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    Citations

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    Cited by:

    1. Rafał Brociek & Mariusz Pleszczyński, 2024. "Differential Transform Method and Neural Network for Solving Variational Calculus Problems," Mathematics, MDPI, vol. 12(14), pages 1-13, July.
    2. Saeed Althubiti & Abdelaziz Mennouni, 2022. "A Novel Projection Method for Cauchy-Type Systems of Singular Integro-Differential Equations," Mathematics, MDPI, vol. 10(15), pages 1-11, July.
    3. Abu-Ghuwaleh, Mohammad & Saadeh, Rania & Saffaf, Rasheed, 2024. "Master generators: A novel approach to construct and solve ordinary differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 218(C), pages 600-623.

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