2018
DOI: 10.1002/mma.4932
|View full text |Cite
|
Sign up to set email alerts
|

Numerical analysis of a water wave model with a nonlocal viscous dispersive term using the diffusive approach

Abstract: Communicated by: R. RODRIGUEZ Funding information PHC Utique ASEO MSC Classification: 35Q35; 35Q53In this paper, we numerically study the water wave model with a nonlocal viscous termds is the Riemann-Liouville half-order derivative in time. We propose and compare different numerical schemes based on the diffusive realizations of fractional operators.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(10 citation statements)
references
References 27 publications
(42 reference statements)
0
6
0
Order By: Relevance
“…have respectively been considered, to model natural damping of water waves, mathematical analysis and simulations can be found also in [12,23,30] in which…”
Section: Wavelet Basis (Orthonormal Case)mentioning
confidence: 99%
See 2 more Smart Citations
“…have respectively been considered, to model natural damping of water waves, mathematical analysis and simulations can be found also in [12,23,30] in which…”
Section: Wavelet Basis (Orthonormal Case)mentioning
confidence: 99%
“…was considered. The mathematical analysis is given in [23] and a numerical study is presented in [30]. • A localized damping in space corresponds to 3.2.…”
Section: Wavelet Basis (Orthonormal Case)mentioning
confidence: 99%
See 1 more Smart Citation
“…Following [6], we use the Gauss-Jacobi quadrature method with N m points to approximate the generalized integral in (3.2). We note by w i the weights and by σ i the nodes of the Gauss-Jacobi quadrature method.…”
Section: The Numerical Schemementioning
confidence: 99%
“…where G 1 is a diagonal matrix of order N m + 1. Following [6], we use a splitting method to provide numerical results. Let t > 0, for all n ≥ 0, we recall that t n = n t and…”
Section: The Numerical Schemementioning
confidence: 99%