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Numerical analysis of a mathematical model describing the evolution of hypoxic glioma cells.

Authors :
López-Agredo, Jorge L.
Rueda-Gómez, Diego A.
Villamizar-Roa, Élder J.
Source :
Computers & Mathematics with Applications. Feb2023, Vol. 131, p138-157. 20p.
Publication Year :
2023

Abstract

In this work, we develop the numerical analysis of a parabolic system of PDE describing the proliferation-invasion structure of hypoxic glial cells in the brain. Explicitly, we propose a fully discrete numerical scheme, based on a semi-implicit Euler discretization in time and Finite Element (FE) discretization on space, for approximating the solutions of the continuous model. For this numerical scheme we prove some properties including well-posedness, positivity, maximum principle, uniform estimates, convergence towards weak solutions, optimal error estimates and asymptotic behaviour of the discrete solutions. Finally, we present some numerical simulations which validate the theoretical results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08981221
Volume :
131
Database :
Academic Search Index
Journal :
Computers & Mathematics with Applications
Publication Type :
Academic Journal
Accession number :
161305391
Full Text :
https://doi.org/10.1016/j.camwa.2022.12.010