def test_feature_specification(self):
import openmdao.api as om
from openmdao.solvers.linesearch.tests.test_backtracking import CompAtan
prob = om.Problem()
model = prob.model
model.add_subsystem('px', om.IndepVarComp('x', -100.0))
model.add_subsystem('comp', CompAtan())
model.connect('px.x', 'comp.x')
prob.setup()
# Initial value for the state:
prob['comp.y'] = 12.0
# You can change the om.NewtonSolver settings after setup is called
newton = prob.model.nonlinear_solver = om.NewtonSolver()
prob.model.linear_solver = om.DirectSolver()
newton.options['iprint'] = 2
newton.options['rtol'] = 1e-8
newton.options['solve_subsystems'] = True
newton.linesearch = om.BoundsEnforceLS()
newton.linesearch.options['iprint'] = 2
prob.run_model()
assert_rel_error(self, prob['comp.y'], 19.68734033, 1e-6)
def test_feature_specification(self):
import openmdao.api as om
from openmdao.solvers.linesearch.tests.test_backtracking import CompAtan
prob = om.Problem()
model = prob.model
model.add_subsystem('comp', CompAtan(), promotes_inputs=['x'])
prob.setup()
prob.set_val('x', -100.0)
# Initial value for the state:
prob.set_val('comp.y', 12.0)
# You can change the om.NewtonSolver settings after setup is called
newton = prob.model.nonlinear_solver = om.NewtonSolver()
prob.model.linear_solver = om.DirectSolver()
newton.options['iprint'] = 2
newton.options['rtol'] = 1e-8
newton.options['solve_subsystems'] = True
newton.linesearch = om.BoundsEnforceLS()
newton.linesearch.options['iprint'] = 2
prob.run_model()
assert_near_equal(prob.get_val('comp.y'), 19.68734033, 1e-6)