Publication Cover
Applicable Analysis
An International Journal
Volume 101, 2022 - Issue 13
264
Views
12
CrossRef citations to date
0
Altmetric
Articles

Two efficient methods for solving the generalized regularized long wave equation

ORCID Icon, ORCID Icon & ORCID Icon
Pages 4721-4742 | Received 30 May 2019, Accepted 17 Dec 2020, Published online: 08 Jan 2021
 

ABSTRACT

In this paper, an exact method named Riccati–Bernoulli sub-ODE method and a numerical method named Subdomain finite element method are proposed for solving the nonlinear generalized regularized long wave (GRLW) equation. For this purpose, Bäcklund transformation of the Riccati–Bernoulli equation and sextic B-spline functions are used for the exact and numerical solutions, respectively. The single soliton wave motion is used to confirm the methods which are found to be correct and effective. The three invariants (I1, I2 and I3) of motion have been assessed to indicate the conservation properties of the numerical algorithm. For the motion of single solitary L2 and L error norms are handled to evaluate differences between the analytical and numerical solutions. Unconditional stability is demonstrated using von-Neumann method. The procured outcomes show that our new schemes guarantee an evident and a functional mathematical equipment for solving nonlinear evolution equations.

AMS Classifications:

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The project is supported by NSF of China (11371289, 11501441).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,361.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.