Inverse extremal problem for an anti-tumor therapy model

Fuente: arXiv
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Main Authors: Kovtanyuk, Andrey, Kuttler, Christina, Koshel, Kristina, Chebotarev, Alexander
Format: Preprint
Published: 2024
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author Kovtanyuk, Andrey
Kuttler, Christina
Koshel, Kristina
Chebotarev, Alexander
author_facet Kovtanyuk, Andrey
Kuttler, Christina
Koshel, Kristina
Chebotarev, Alexander
contents An optimal control problem for a model of tumor growth is studied. In a given subdomain, it is required to minimize the density of tumor cells, while the drug concentration in tissue is limited by given minimal and maximal values. Based on derived estimates of the solution of the controlled system, the solvability of the control problem is proved. The problem is reduced to an optimal control problem with a penalty. An algorithm for solving the optimal control problem with a penalty is constructed and implemented. The efficiency of the algorithm is illustrated by a numerical example.
format Preprint
id arxiv_https___arxiv_org_abs_2407_08345
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Inverse extremal problem for an anti-tumor therapy model
Kovtanyuk, Andrey
Kuttler, Christina
Koshel, Kristina
Chebotarev, Alexander
Optimization and Control
An optimal control problem for a model of tumor growth is studied. In a given subdomain, it is required to minimize the density of tumor cells, while the drug concentration in tissue is limited by given minimal and maximal values. Based on derived estimates of the solution of the controlled system, the solvability of the control problem is proved. The problem is reduced to an optimal control problem with a penalty. An algorithm for solving the optimal control problem with a penalty is constructed and implemented. The efficiency of the algorithm is illustrated by a numerical example.
title Inverse extremal problem for an anti-tumor therapy model
topic Optimization and Control
url https://arxiv.org/abs/2407.08345