2021
DOI: 10.1515/phys-2021-0087
|View full text |Cite
|
Sign up to set email alerts
|

New trigonometric B-spline approximation for numerical investigation of the regularized long-wave equation

Abstract: The objective of this work is to propose a collocation technique based on new cubic trigonometric B-spline (NCTB-spline) functions to approximate the regularized long-wave (RLW) equation. This equation is used for modelling numerous problems occurring in applied sciences. The NCTB-spline collocation method is used to integrate the spatial derivatives. We use the Rubin–Graves linearization technique to linearize the non-linear term. The accuracy and efficiency of the technique are examined by employing it on th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 37 publications
0
1
0
Order By: Relevance
“…The implicit Crank -Nicolson method can be used to efficiently solve the heat equation [19,20]. Many authors [21][22][23][24][25] have used higher order B-splines such as quintic, quartic, sextet and septic B-splines for the solutions of different PDEs but faced computational higher cost. Also, Riccati matrix delay differential equations has solved with variational iteration method in these papers [26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The implicit Crank -Nicolson method can be used to efficiently solve the heat equation [19,20]. Many authors [21][22][23][24][25] have used higher order B-splines such as quintic, quartic, sextet and septic B-splines for the solutions of different PDEs but faced computational higher cost. Also, Riccati matrix delay differential equations has solved with variational iteration method in these papers [26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The BBME has been solved numerically by various methods based on finite difference, finite element, Petrov-Galerkin finite element, Fourier pseudo-spectral, collocation methods, and many other methods [4][5]. Lately, the B-spline collocation method with quadratic B-spline [4], cubic B-spline (CB) [6][7][8], cubic trigonometric B-spline (CTB) [9][10][11], and extended cubic B-spline (ECB) [12][13][14][15][16] have been formulated successfully on some differential equations with accurate results and high efficiency. There are several techniques used to handle the nonlinear term in the BBME namely Taylor series expansion [17], quasilinearization [18] and Adomian polynomials [19].…”
Section: Introductionmentioning
confidence: 99%