对于COVID-19封锁的一个简单的规划问题:一个动态编程方法
Alessandro Calvia1, Fausto Gozzi1, Francesco Lippi1,2
1Dipartimento di Economia e Finanza, LUISS University, Viale Romania 32, 00197 Rome, Italy.
概括
本研究分析了使用动态编程方法控制COVID-19的最佳控制. 它解决了非凸的问题,为经济和公共卫生政策优化提供了一种新方法.
科学领域:
- 数学流行病学数学流行病学
- 最佳控制理论是最好的控制理论.
- 动态编程 是一种动态编程.
背景情况:
- 分区式SIR模型被广泛用于研究传染病动态.
- 最佳控制对于平衡COVID-19制与经济影响至关重要.
- 在这个领域,非凸的优化问题带来了重大的分析挑战.
研究的目的:
- 在流行病建模中,为非凸起的最佳控制问题开发一个强大的动态编程框架.
- 分析COVID-19制策略的价值函数的属性.
- 为促进公共卫生领域动态优化的理论理解做出贡献.
主要方法:
- 动态编程原则的应用.
- 对值函数的连续性属性的分析.
- 使用粘度解决方案研究汉密尔顿 - 雅各比 - 贝尔曼方程.
主要成果:
- 在非凸的设置中证明了值函数的连续性属性.
- 确定值函数是汉密尔顿-贾科比-贝尔曼方程的粘度解.
- 提供了对疫情控制的最佳条件的见解.
结论:
- 动态编程方法为分析复杂,非凸起的流行病控制问题提供了一种可行的方法.
- 这项工作为对此类优化问题的全面分析奠定了基础.
- 这些发现对设计有效和经济合理的公共卫生政策有影响.
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