what can I do if the optimization results in “Converged to a point of local infeasibility. Problem may be infeasible.” despite of changing the start point? I am using JuMP+Ipopt

Local infeasibility, Ipopt

jd-foster October 21, 2021, 3:28am 10

While I’m thinking about this…
not related to your optimisation problem, but these types of lines can be compressed as:

s_matrix_df = CSV.read("stoichiometric matrix of iJO1366.csv",DataFrame)

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