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