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Implementing Pontryagin-based optimal control of the deterministic SEITR system and a numerically-optimized treatment policy for its stochastic network analogue, with cross-formulation comparison.
This project implements a SEITR (Susceptible, Exposed, Infected, Treated, Recovered) model for network analysis using R. The model simulates the spread of a disease through a network of individuals, allowing for various network types and parameters.