Numerical optimal control for HIV prevention with dynamic budget allocation
Systems and Control
2023-05-30 v1 Numerical Analysis
Optimization and Control
Populations and Evolution
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.
Cite
@article{arxiv.1611.06728,
title = {Numerical optimal control for HIV prevention with dynamic budget allocation},
author = {Dmitry Gromov and Ingo Bulla and Ethan O. Romero-Severson and Oana Silvia Serea},
journal= {arXiv preprint arXiv:1611.06728},
year = {2023}
}
Comments
Submitted paper