Tumor growth model with chemotaxis and active transport: Control and parameters recovery

<p>In this paper, we formulate and analyze an optimal control problem for a system of Cahn–Hilliard equations modeling tumor growth, accounting for chemotaxis and active transport. The dynamical system was introduced in Hawkins-Daarud et al. (2012), and mathematical results of existence and un...

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Main Author: Mostafa Kadiri (19569316) (author)
Other Authors: Mohammed Louaked (22565048) (author), Saber Trabelsi (19569319) (author)
Published: 2025
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author Mostafa Kadiri (19569316)
author2 Mohammed Louaked (22565048)
Saber Trabelsi (19569319)
author2_role author
author
author_facet Mostafa Kadiri (19569316)
Mohammed Louaked (22565048)
Saber Trabelsi (19569319)
author_role author
dc.creator.none.fl_str_mv Mostafa Kadiri (19569316)
Mohammed Louaked (22565048)
Saber Trabelsi (19569319)
dc.date.none.fl_str_mv 2025-05-30T15:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.cam.2025.116769
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Tumor_growth_model_with_chemotaxis_and_active_transport_Control_and_parameters_recovery/30540914
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Mathematical sciences
Applied mathematics
Numerical and computational mathematics
Diffuse interface
Tumor growth
Cahn–Hilliard equations
Chemotaxis
Active transport
Cell movement
Reaction diffusion equations
Optimal control
Optimality condition
dc.title.none.fl_str_mv Tumor growth model with chemotaxis and active transport: Control and parameters recovery
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>In this paper, we formulate and analyze an optimal control problem for a system of Cahn–Hilliard equations modeling tumor growth, accounting for chemotaxis and active transport. The dynamical system was introduced in Hawkins-Daarud et al. (2012), and mathematical results of existence and uniqueness of weak solutions were obtained in Garcke and Yayla (2020). In this contribution, we prove the continuous dependence of the solutions on the physical parameters in addition to the initial data. In addition, we introduce an optimal control problem where the cost functional depends on a target function, but most importantly, on physical parameters targets. We establish the existence of a unique minimizer and provide optimality conditions. Eventually, we present simple numerical illustrations in full agreement with our theoretical results.</p><h2>Other Information</h2> <p> Published in: Journal of Computational and Applied Mathematics<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cam.2025.116769" target="_blank">https://dx.doi.org/10.1016/j.cam.2025.116769</a></p>
eu_rights_str_mv openAccess
id Manara2_fca0a3cc8b154f861d9ecf7737a8a342
identifier_str_mv 10.1016/j.cam.2025.116769
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/30540914
publishDate 2025
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Tumor growth model with chemotaxis and active transport: Control and parameters recoveryMostafa Kadiri (19569316)Mohammed Louaked (22565048)Saber Trabelsi (19569319)Mathematical sciencesApplied mathematicsNumerical and computational mathematicsDiffuse interfaceTumor growthCahn–Hilliard equationsChemotaxisActive transportCell movementReaction diffusion equationsOptimal controlOptimality condition<p>In this paper, we formulate and analyze an optimal control problem for a system of Cahn–Hilliard equations modeling tumor growth, accounting for chemotaxis and active transport. The dynamical system was introduced in Hawkins-Daarud et al. (2012), and mathematical results of existence and uniqueness of weak solutions were obtained in Garcke and Yayla (2020). In this contribution, we prove the continuous dependence of the solutions on the physical parameters in addition to the initial data. In addition, we introduce an optimal control problem where the cost functional depends on a target function, but most importantly, on physical parameters targets. We establish the existence of a unique minimizer and provide optimality conditions. Eventually, we present simple numerical illustrations in full agreement with our theoretical results.</p><h2>Other Information</h2> <p> Published in: Journal of Computational and Applied Mathematics<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cam.2025.116769" target="_blank">https://dx.doi.org/10.1016/j.cam.2025.116769</a></p>2025-05-30T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.cam.2025.116769https://figshare.com/articles/journal_contribution/Tumor_growth_model_with_chemotaxis_and_active_transport_Control_and_parameters_recovery/30540914CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/305409142025-05-30T15:00:00Z
spellingShingle Tumor growth model with chemotaxis and active transport: Control and parameters recovery
Mostafa Kadiri (19569316)
Mathematical sciences
Applied mathematics
Numerical and computational mathematics
Diffuse interface
Tumor growth
Cahn–Hilliard equations
Chemotaxis
Active transport
Cell movement
Reaction diffusion equations
Optimal control
Optimality condition
status_str publishedVersion
title Tumor growth model with chemotaxis and active transport: Control and parameters recovery
title_full Tumor growth model with chemotaxis and active transport: Control and parameters recovery
title_fullStr Tumor growth model with chemotaxis and active transport: Control and parameters recovery
title_full_unstemmed Tumor growth model with chemotaxis and active transport: Control and parameters recovery
title_short Tumor growth model with chemotaxis and active transport: Control and parameters recovery
title_sort Tumor growth model with chemotaxis and active transport: Control and parameters recovery
topic Mathematical sciences
Applied mathematics
Numerical and computational mathematics
Diffuse interface
Tumor growth
Cahn–Hilliard equations
Chemotaxis
Active transport
Cell movement
Reaction diffusion equations
Optimal control
Optimality condition