Coverage for docs/source/examples/x_greaterthan_1.py: 100%
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1"Very simple problem: minimize x while keeping x greater than 1."
2from gpkit import Variable, Model
4# Decision variable
5x = Variable("x")
7# Constraint
8constraints = [x >= 1]
10# Objective (to minimize)
11objective = x
13# Formulate the Model
14m = Model(objective, constraints)
16# Solve the Model
17sol = m.solve(verbosity=0)
19# print selected results
20print("Optimal cost: %.4g" % sol["cost"])
21print("Optimal x val: %.4g" % sol["variables"][x])