Author: Brydon Eastman; Cameron Meaney; Michelle Przedborski; Mohammad Kohandel
Title: Mathematical modeling of COVID-19 containment strategies with considerations for limited medical resources Document date: 2020_4_22
ID: 51g3vhcx_79
Snippet: With these ranges set, we approximate the optimizer via Gaussian maximum likelihood estimation with differential evolution minimization [18] . The final result is then further optimized within our provided bounds by using the L-BFGS-B method from SciPy [19] . The quality improvements of the fit after this final local optimization step are minor, indicating that differential evolution of the maximum likelihood estimator already achieves accurate p.....
Document: With these ranges set, we approximate the optimizer via Gaussian maximum likelihood estimation with differential evolution minimization [18] . The final result is then further optimized within our provided bounds by using the L-BFGS-B method from SciPy [19] . The quality improvements of the fit after this final local optimization step are minor, indicating that differential evolution of the maximum likelihood estimator already achieves accurate parameter discovery. We numerically solve the differential equation system with the integrate.odeint function from SciPy that acts as a wrapper for lsoda [19, 20] .
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