A collocation method for a nonlocal tumor growth model

This paper presents a model for tumor growth using a nonlocal velocity. We establish some results on the existence and uniqueness of solutions for a nonlocal tumor growth model. Many experiments show that the tumor spheroid can be invariant under rotation and can maintain the shape of a spheroid during the growth process in some particular cases. Here, we assume that the multiple components of the system are invariant under rotation. Then, we use the collocation method to solve the nonlocal system. To illustrate the efficiency of the proposed method, we performed numerical tests that simulate a tumor growth scenario.

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Publication Details

Journal
ETNA - Electronic Transactions on Numerical Analysis
Published
2025-01-01
DOI
https://doi.org/10.1553/etna_vol63s368
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

A collocation method for a nonlocal tumor growth model

Imad El Harraki, Yassine Melouani, Abderrahman Bouahamidi
ETNA - Electronic Transactions on Numerical Analysis
Mathematical Biology Tumor Growth
article

A collocation method for a nonlocal tumor growth model

Imad El Harraki, Yassine Melouani, Abderrahman Bouahamidi
article en

Abstract

This paper presents a model for tumor growth using a nonlocal velocity. We establish some results on the existence and uniqueness of solutions for a nonlocal tumor growth model. Many experiments show that the tumor spheroid can be invariant under rotation and can maintain the shape of a spheroid during the growth process in some particular cases. Here, we assume that the multiple components of the system are invariant under rotation. Then, we use the collocation method to solve the nonlocal system. To illustrate the efficiency of the proposed method, we performed numerical tests that simulate a tumor growth scenario.

ETNA - Electronic Transactions on Numerical AnalysisVol. 63
Université du Littoral Côte d'Opale, Centre National pour la Recherche Scientifique et Technique
Openalex Percentile: Top 71%
Mathematical Biology Tumor Growth
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