Post-process a scenario

from __future__ import annotations

from gemseo import create_design_space
from gemseo import create_discipline
from gemseo import create_scenario
from gemseo import execute_post

We consider a minimization problem over the interval \([0,1]\) of the \(f(x)=x^2\) objective function:

discipline = create_discipline("AnalyticDiscipline", expressions={"y": "x**2"})

design_space = create_design_space()
design_space.add_variable("x", l_b=0.0, u_b=1.0)

scenario = create_scenario([discipline], "DisciplinaryOpt", "y", design_space)

We solve this optimization problem with the gradient-free algorithm COBYLA:

scenario.execute({"algo": "NLOPT_COBYLA", "max_iter": 10})

Then, we can post-process this MDOScenario either with its method post_process():

scenario.post_process("BasicHistory", variable_names=["y"])

or with the function execute_post():

execute_post(scenario, "BasicHistory", variable_names=["y"])


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