Reduced Basis Finite Element Methods for the Korteweg-de Vries-Burgers Equation

Reduced Basis Finite Element Methods for the Korteweg-de Vries-Burgers Equation

Year:    2022

Author:    Guang-Ri Piao, Fuxia Yao, Wenju Zhao

International Journal of Numerical Analysis and Modeling, Vol. 19 (2022), Iss. 2-3 : pp. 369–385

Abstract

In this paper, the B-spline Galerkin finite element method and reduced order method for the Korteweg-de Vries-Burgers equation are considered. The semi-discrete and the fully discrete schemes are both provided. The reduced order model of the Korteweg-de Vries-Burgers equation by using proper orthogonal decomposition are provided. The stability and the error estimates of the corresponding schemes are then analyzed. Finally, numerical simulations are presented to show the efficiency of our proposed methods.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2022-IJNAM-20486

International Journal of Numerical Analysis and Modeling, Vol. 19 (2022), Iss. 2-3 : pp. 369–385

Published online:    2022-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    17

Keywords:    Korteweg-de Vries-Burgers proper orthogonal decomposition reduced order modeling error analysis.

Author Details

Guang-Ri Piao

Fuxia Yao

Wenju Zhao