An explicit Fourier-Klibanov method for an age-dependent tumor growth model of Gompertz type

This paper proposes an explicit Fourier-Klibanov method as a new approximation technique for an age-dependent population PDE of Gompertz type in modeling the evolution of tumor density in a brain tissue. Through suitable nonlinear and linear transformations, the Gompertz model of interest is transfo...

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Bibliographic Details
Published inApplied numerical mathematics Vol. 198; pp. 401 - 418
Main Authors Ngoc, Nguyen Thi Yen, Khoa, Vo Anh
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2024
Subjects
Age-structured models
Finite difference method
Fourier-Klibanov series
Gompertz law
Stability estimate
Tumor growth
Fourier-Klibanov series
Gompertz law
Tumor growth
Age-structured models
Stability estimate
Finite difference method
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Summary:This paper proposes an explicit Fourier-Klibanov method as a new approximation technique for an age-dependent population PDE of Gompertz type in modeling the evolution of tumor density in a brain tissue. Through suitable nonlinear and linear transformations, the Gompertz model of interest is transformed into an auxiliary third-order nonlinear PDE. Then, a coupled transport-like PDE system is obtained via an application of the Fourier-Klibanov method, and, thereby, is approximated by the explicit finite difference operators of characteristics. The stability of the resulting difference scheme is analyzed under the standard 2-norm topology. Finally, we present some computational results to demonstrate the effectiveness of the proposed method.
ISSN:0168-9274
1873-5460
DOI:10.1016/j.apnum.2024.01.020