Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Data-driven optimal control of a SEIR model for COVID-19   We present a data-driven optimal control approach which integrates the
reported partial data with the epidemic dynamics for COVID-19. We use a basic
Susceptible-Exposed-Infectious-Recovered (SEIR) model, the model parameters are
time-varying and learned from the data. This approach serves to forecast the
evolution of the outbreak over a relatively short time period and provide
scheduled controls of the epidemic. We provide efficient numerical algorithms
based on a generalized Pontryagin Maximum Principle associated with the optimal
control theory. Numerical experiments demonstrate the effective performance of
the proposed model and its numerical approximations.

22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph