Approximate Numerical solutions for the nonlinear dispersive shallow water waves as the Fornberg–Whitham model equations
•Applications of a new analyzing method: modified variational iteration algorithm-I.•Approximate numerical solution of nonlinear Fornberg-Whitham model equation.•Use of an auxiliary parameter for ensuring rapid convergence of the solution.•New methodology for obtaining the unknown auxiliary paramete...
Gespeichert in:
| Veröffentlicht in: | Results in physics Jg. 22; S. 103907 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.03.2021
Elsevier |
| Schlagworte: | |
| ISSN: | 2211-3797, 2211-3797 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Zusammenfassung: | •Applications of a new analyzing method: modified variational iteration algorithm-I.•Approximate numerical solution of nonlinear Fornberg-Whitham model equation.•Use of an auxiliary parameter for ensuring rapid convergence of the solution.•New methodology for obtaining the unknown auxiliary parameter.•Applications of modified variational iteration algorithm-I in various fields of physical sciences and engineering.
The nonlinear partial differential equations having travelling or solitary wave solutions is numerically challenging, in which one of the important type is the Fornberg–Whitham model equation. This article aims to solve the Fornberg–Whitham type equations numerically via the variational iteration algorithm-I (MVIA-I). The MVIA-I gives approximate and exact solutions with easily computable terms to linear and nonlinear PDEs without the linearization or discretization, small perturbation and Adomian polynomials. To assess the precision, reliability and compactness of the recommended algorithm, we have compared the obtained results with the traditional variational iteration method (VIM), homotopy analysis method, reproducing kernel Hilbert space method and Adomian’s decomposition method which reveals that the MVIA-I is computationally attractive, exceptionally productive and is more reliable than the others techniques used in the literature. |
|---|---|
| ISSN: | 2211-3797 2211-3797 |
| DOI: | 10.1016/j.rinp.2021.103907 |