def Jhat(ic):
print("Perturbed initial condition: ", ic.vector().array())
u = main(model(), ics=ic)
print("Perturbed functional value: ", assemble(inner(u, u) * dx))
print("Perturbed solution: ", u.vector().array())
return assemble(inner(u, u) * dx)
def Jhat(ic):
print "Perturbed initial condition: ", ic.vector().array()
u = main(model(), ics=ic)
print "Perturbed functional value: ", assemble(inner(u, u)*dx)
print "Perturbed solution: ", u.vector().array()
return assemble(inner(u, u)*dx)
from dolfin_adjoint import *
import ufl.algorithms
if not hasattr(MultiStageScheme, "to_tlm"):
info_red("Need dolfin > 1.2.0 for ode_solver test.")
import sys
sys.exit(0)
# Import cell model (rhs, init_values, default_parameters)
from beatadjoint.cellmodels.fitzhughnagumo import Fitzhughnagumo as model
set_log_level(ERROR)
domain = UnitIntervalMesh(1)
num_states = len(model().initial_conditions()((0.0, )))
V = None
def main(model, ics=None, annotate=False):
params = BasicCardiacODESolver.default_parameters()
params["theta"] = 1.0
params["V_polynomial_family"] = "CG"
params["S_polynomial_family"] = "CG"
params["V_polynomial_degree"] = 1
params["S_polynomial_degree"] = 1
params["enable_adjoint"] = annotate
solver = BasicCardiacODESolver(domain,
None,
model.num_states(),
import sys; sys.exit(0)
from dolfin_adjoint import *
import ufl.algorithms
if not hasattr(MultiStageScheme, "to_tlm"):
info_red("Need dolfin > 1.2.0 for ode_solver test.")
import sys; sys.exit(0)
# Import cell model (rhs, init_values, default_parameters)
from beatadjoint.cellmodels.fitzhughnagumo import Fitzhughnagumo as model
set_log_level(ERROR)
domain = UnitIntervalMesh(1)
num_states = len(model().initial_conditions()((0.0,)))
V = None
def main(model, ics=None, annotate=False):
params = BasicCardiacODESolver.default_parameters()
params["theta"] = 1.0
params["V_polynomial_family"] = "CG"
params["S_polynomial_family"] = "CG"
params["V_polynomial_degree"] = 1
params["S_polynomial_degree"] = 1
params["enable_adjoint"] = annotate
solver = BasicCardiacODESolver(domain, None, model.num_states(), model.F, model.I, I_s=model.stimulus, params=params)
if ics is None:
global V
