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An Unconditionally Energy-Stable SAV-DG Numerical Scheme for Tumor Growth Model

An Unconditionally Energy-Stable SAV-DG Numerical Scheme for Tumor Growth Model

Year:    2025

Author:    Penghao Guo, Bo Wang, Guang-An Zou

International Journal of Numerical Analysis and Modeling, Vol. 22 (2025), Iss. 4 : pp. 510–533

Abstract

In this paper, we propose a linear, fully decoupled and unconditionally energy-stable discontinuous Galerkin (DG) method for solving the tumor growth model, which is derived from the variation of the free energy. The fully discrete scheme is constructed by the scalar auxiliary variable (SAV) for handling the nonlinear term and backward Euler method for the time discretization. We rigorously prove the unconditional energy stability and optimal error estimates of the scheme. Finally, several numerical experiments are performed to verify the energy stability and validity of the proposed scheme.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/ijnam2025-1022

International Journal of Numerical Analysis and Modeling, Vol. 22 (2025), Iss. 4 : pp. 510–533

Published online:    2025-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    24

Keywords:    Tumor growth model DG method SAV approach optimal error estimates.

Author Details

Penghao Guo

Bo Wang

Guang-An Zou