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Optimal medication for tumors modeled by a Cahn-Hilliard-Brinkman equation

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arxiv 1811.07783 v3 pith:YA4JLBLU submitted 2018-11-19 math.OC math.AP

Optimal medication for tumors modeled by a Cahn-Hilliard-Brinkman equation

classification math.OC math.AP
keywords equationboundaryconditionscontrolmodeloptimaltumortype
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In this paper, we study a distributed optimal control problem for a diffuse interface model for tumor growth. The model consists of a Cahn-Hilliard type equation for the phase field variable coupled to a reaction diffusion equation for the nutrient and a Brinkman type equation for the velocity. The system is equipped with homogeneous Neumann boundary conditions for the tumor variable and the chemical potential, Robin boundary conditions for the nutrient and a "no-friction" boundary condition for the velocity. The control acts as a medication by cytotoxic drugs and enters the phase field equation. The cost functional is of standard tracking type and is designed to track the variables of the state equation during the evolution and the distribution of tumor cells at some fixed final time. We prove that the model satisfies the basics for calculus of variations and we establish first-order necessary optimality conditions for the optimal control problem.

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  1. A distributed control problem for a fractional tumor growth model

    math.OC 2019-07 unverdicted novelty 5.0

    Establishes Fréchet differentiability of the control-to-state map, adjoint solvability, and first-order optimality conditions for distributed control of a fractional tumor growth system.