Source code for gemseo.uncertainty.use_cases.ishigami.ishigami_discipline

# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
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# Lesser General Public License for more details.
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"""The Ishigami function as a discipline."""
from __future__ import annotations

from typing import Iterable

from numpy import array

from gemseo.core.discipline import MDODiscipline
from gemseo.uncertainty.use_cases.ishigami.functions import compute_gradient
from gemseo.uncertainty.use_cases.ishigami.functions import compute_output


[docs]class IshigamiDiscipline(MDODiscipline): r"""The Ishigami function as a discipline. .. math:: f(x_1,_2,x_3) = \sin(x_1)+ 7\sin(x_2)^2 + 0.1x_3^4\sin(X_1) See :cite:`ishigami1990`. """ def __init__(self) -> None: # noqa: D107 super().__init__() self.input_grammar.update(["x1", "x2", "x3"]) self.output_grammar.update(["y"]) self.default_inputs.update( {name: array([0.0]) for name in self.input_grammar.names} ) def _run(self) -> None: self.store_local_data(y=array([compute_output(self.get_inputs_asarray())])) def _compute_jacobian( self, inputs: Iterable[str] | None = None, outputs: Iterable[str] | None = None, ) -> None: self.jac = { "y": { input_name: array([[derivative]]) for input_name, derivative in zip( self.get_input_data_names(), compute_gradient(self.get_inputs_asarray()), ) } }