Numerical optimal control for HIV prevention with dynamic budget allocation release_4nvacw44u5dyfoh35gnuxd6fii

by Dmitry Gromov, Ingo Bulla, Ethan O. Romero-Severson, Oana Silvia Serea

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2016  

Abstract

This paper is about numerical control of HIV propagation. The contribution of the paper is threefold: first, a novel model of HIV propagation is proposed; second, the methods from numerical optimal control are successfully applied to the developed model to compute optimal control profiles; finally, the computed results are applied to the real problem yielding important and practically relevant results.
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Date   2016-11-21
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Language   en ?
arXiv  1611.06728v1
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