Source code for gemseo.problems.sellar.sellar_design_space
# -*- coding: utf-8 -*-
# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
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# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
# Contributors:
# INITIAL AUTHORS - API and implementation and/or documentation
# :author: Charlie Vanaret
# OTHER AUTHORS - MACROSCOPIC CHANGES
"""
Sellar MDO problem's Design Space
*********************************
"""
from __future__ import absolute_import, division, print_function, unicode_literals
from builtins import super
import numpy as np
from future import standard_library
from gemseo.algos.design_space import DesignSpace
standard_library.install_aliases()
[docs]class SellarDesignSpace(DesignSpace):
"""**SellarDesignSpace** creates the :class:`.DesignSpace` of the
Sellar problem
whose :class:`.MDODiscipline` are :class:`.Sellar1`, :class:`.Sellar2`
and :class:`.SellarSystem`.
- x_local belongs to [0., 10.]
- x_shared_0 belongs to [-10., 10.]
- x_shared_1 belongs to [0., 10.]
- y_0 belongs to [-100., 100.]
- y_1 belongs to [-100., 100.]
"""
def __init__(self, dtype="complex128"):
"""The constructor creates a blank :class:`.DesignSpace`
to which it adds all design variables."""
super(SellarDesignSpace, self).__init__()
# construct a dictionary with initial solution
x_local = np.array([1.0], dtype=dtype)
x_shared = np.array([4.0, 3.0], dtype=dtype)
y_0 = np.array([1.0], dtype=dtype)
y_1 = np.array([1.0], dtype=dtype)
# design variables
self.add_variable("x_local", 1, l_b=0.0, u_b=10.0, value=x_local) # x
self.add_variable(
"x_shared", 2, l_b=(-10, 0.0), u_b=(10.0, 10.0), value=x_shared
) # z
# target coupling variables
self.add_variable("y_0", 1, l_b=-100.0, u_b=100.0, value=y_0)
self.add_variable("y_1", 1, l_b=-100.0, u_b=100.0, value=y_1)