Opis

• Tytuł:
  Numerical comparison of FNVIM and FNHPM for solving a certain type of nonlinear Caputo time-fractional partial differential equations
• Twórca:
  Khalouta, Ali;
  Kadem, Abdelouahab
• Opis:
  This work presents a numerical comparison between two efficient methods namely the fractional natural variational iteration method (FNVIM) and the fractional natural homotopy perturbation method (FNHPM) to solve a certain type of nonlinear Caputo time-fractional partial differential equations in particular, nonlinear Caputo time-fractional wave-like equations with variable coefficients. These two methods provided an accurate and efficient tool for solving this type of equations. To show the efficiency and capability of the proposed methods we have solved some numerical examples. The results show that there is an excellent agreement between the series solutions obtained by these two methods. However, the FNVIM has an advantage over FNHPM because it takes less time to solve this type of nonlinear problems without using He’s polynomials. In addition, the FNVIM enables us to overcome the difficulties arising in identifying the general Lagrange multiplier and it may be considered as an added advantage of this technique compared to the FNHPM.
• Dostępność obiektu:
  Dostęp otwarty
• Data:
  2020.07.09
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Recenzowany artykuł
• Język:
  angielski
• Źródło:
  Annales Mathematicae Silesianae; Vol. 34 No. 2 (2020); 203-221;
  Annales Mathematicae Silesianae; Tom 34 Nr 2 (2020); 203-221;
  2391-4238;
  0860-2107
• Format:
  application/pdf
• Wydawca:
  University of Silesia Press
• Relacja: https://journals.us.edu.pl/index.php/AMSIL/article/view/13612/10428
• Temat i słowa kluczowe:
  nonlinear Caputo time-fractional partial differential equations;
  Caputo fractional derivative;
  natural transform;
  variational iteration method;
  homotopy perturbation method
• Identyfikator: https://journals.us.edu.pl/index.php/AMSIL/article/view/13612
• Dostawca danych:
  Czasopisma Wydawnictwa Uniwersytetu Śląskiego
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