A meshless finite point method for the improved Boussinesq equation using stabilized moving least squares approximation and Richardson extrapolation

A meshless finite point method (FPM) is developed in this paper for the numerical solution of the nonlinear improved Boussinesq equation. A time discrete technique is used to approximate time derivatives, and then a linearized procedure is presented to deal with the nonlinearity. To achieve stable c...

Full description

Saved in:
Bibliographic Details
Published inNumerical methods for partial differential equations Vol. 39; no. 4; pp. 2739 - 2762
Main Author Li, Xiaolin
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.07.2023
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text
ISSN0749-159X
1098-2426
1098-2426
DOI10.1002/num.22985

Cover

More Information
Summary:A meshless finite point method (FPM) is developed in this paper for the numerical solution of the nonlinear improved Boussinesq equation. A time discrete technique is used to approximate time derivatives, and then a linearized procedure is presented to deal with the nonlinearity. To achieve stable convergence numerical results in space, the stabilized moving least squares approximation is used to obtain the shape function, and then the FPM is adopted to establish the linear system of discrete algebraic equations. To enhance the accuracy and convergence order in time, the Richardson extrapolation is finally incorporated into the FPM. Numerical results show that the FPM is fourth‐order accuracy in both space and time and can obtain highly accurate results in simulating the propagation of a single solitary wave, the interaction of two solitary waves, the solitary wave break‐up and the solution blow‐up phenomena.
Bibliography:Funding information
Chongqing Municipal Education Commission, Grant/Award Numbers: CXQT19018; KJZD‐M201800501; Chongqing Natural Science Foundation, Grant/Award Number: cstc2021jcyj‐jqX0011; National Natural Science Foundation of China, Grant/Award Number: 11971085
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0749-159X
1098-2426
1098-2426
DOI:10.1002/num.22985