Selected article for: "reflective algorithm and trust region reflective algorithm"
Author: Leonardo R Lopez; Xavier Rodo
Title: A modified SEIR model to predict the COVID-19 outbreak in Spain: simulating control scenarios and multi-scale epidemics
  • Document date: 2020_3_30
    • ID: m27nyzrw_8
    Snippet: The model was fitted in a non linear approach by calculating the normalized least-squares error of the model approximation and the infected reported cases. The optimization algorithm used was trust-region-reflective with a maximum number of iterations of 500 and a step size of 6.4e − 7. The error for the model fitted for all Spain was 3e − 3 + − 0.6e − 4 (ci = 95%).The fitted parameters are summarized in Table 1 3 Results.....
    Document: The model was fitted in a non linear approach by calculating the normalized least-squares error of the model approximation and the infected reported cases. The optimization algorithm used was trust-region-reflective with a maximum number of iterations of 500 and a step size of 6.4e − 7. The error for the model fitted for all Spain was 3e − 3 + − 0.6e − 4 (ci = 95%).The fitted parameters are summarized in Table 1 3 Results

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