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I am trying to solve a model with gurobi optimizer in python. Part of one constraint is logarithmic:

import  numpy as  np

k = beta * np.log(f_var)
model.addConstr(t_var == t0 * (1 + alpha * k))

t0, alpha and beta are given, but f_var and t_var are model variables. Gurobi doesn't accept numpy function and return this error: 

AttributeError: 'gurobipy.Var' object has no attribute 'log'

can anyone help me?

sali
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1 Answers1

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Gurobi can only handle linear, quadratic and piece-wise linear functions as constraints. To solve your model, you need a nonlinear programming solver like Ipopt.

joni
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