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Algorithms for coupled Burgers' equations by sharing characteristic curves within BSLM.

Authors :
Bak, Soyoon
Jeon, Yonghyeon
Source :
Advances in Continuous & Discrete Models. 10/9/2023, Vol. 2023 Issue 1, p1-22. 22p.
Publication Year :
2023

Abstract

This paper introduces a new perspective of the traditional view on the velocity of each physical particle in the coupled Burgers' equation in the backward semi-Lagrangian method (BSLM). The proposed methods reduce the number of Cauchy problems to be solved by observing a single virtual characteristic curve with a velocity. This can drastically reduce the computational cost of determining the departure point. Then, we solve the derived system reflected by the single virtual characteristic curve. Moreover, an efficient strategy for the derived linear system of equations is provided. Four examples are tested to demonstrate the adaptability and efficiency of the proposed method. The test results show that the proposed method has third- and fourth-order accuracy in time and space, respectively. In addition, compared with the existing method of solving the problem along two particles with different velocities, we confirm that the proposed method significantly reduces computational cost while maintaining accuracy well. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27314235
Volume :
2023
Issue :
1
Database :
Academic Search Index
Journal :
Advances in Continuous & Discrete Models
Publication Type :
Academic Journal
Accession number :
172867153
Full Text :
https://doi.org/10.1186/s13662-023-03785-1