def initialize_data(self):
"""
Extract required objects for defining error control
forms. This will be stored and reused.
"""
# Developer's note: The UFL-FFC-DOLFIN--PyDOLFIN toolchain for
# error control is quite fine-tuned. In particular, the order
# of coefficients in forms is (and almost must be) used for
# their assignment. This means that the order in which these
# coefficients are defined matters and should be considered
# fixed.
# Primal trial element space
self._V = self.u.function_space()
# Primal test space == Dual trial space
Vhat = self.weak_residual.arguments()[0].function_space()
# Discontinuous version of primal trial element space
self._dV = tear(self._V)
# Extract cell and geometric dimension
mesh = self._V.mesh()
dim = mesh.topology().dim()
# Function representing improved dual
E = increase_order(Vhat)
self._Ez_h = Function(E)
# Function representing cell bubble function
B = FunctionSpace(mesh, "B", dim + 1)
self._b_T = Function(B)
self._b_T.vector()[:] = 1.0
# Function representing strong cell residual
self._R_T = Function(self._dV)
# Function representing cell cone function
C = FunctionSpace(mesh, "DG", dim)
self._b_e = Function(C)
# Function representing strong facet residual
self._R_dT = Function(self._dV)
# Function for discrete dual on primal test space
self._z_h = Function(Vhat)
# Piecewise constants for assembling indicators
self._DG0 = FunctionSpace(mesh, "DG", 0)
def _init_convenience(self, multimesh, family, degree):
# Check arguments
self.info = [family, degree]
if not isinstance(family, string_types):
cpp.dolfin_error(
"multimeshfunctionspace.py", "create function space",
"Illegal argument for finite element family, not a string: " +
str(family))
if not isinstance(degree, int):
cpp.dolfin_error(
"multimeshfunctionspace.py", "create function space",
"Illegal argument for degree, not an integer: " + str(degree))
if not isinstance(multimesh, cpp.mesh.MultiMesh):
cpp.dolfin_error(
"functionspace.py", "create multimesh function space",
"Illegal argument, not a multimesh: " + str(multimesh))
# Create UFL element
mesh = multimesh.part(0)
element = ufl.FiniteElement(family, mesh.ufl_cell(), degree)
# Create and add individual function spaces
V = cpp.function.MultiMeshFunctionSpace(multimesh)
V_parts = []
for part in range(multimesh.num_parts()):
V_part = FunctionSpace(multimesh.part(part), element)
V_parts.append(V_part)
V.add(V_part)
# Build multimesh function space
V.build()
# Store full function spaces
self._parts = V_parts
self._cpp_object = V
def derivative(form, u, du=None, coefficient_derivatives=None):
if du is None:
# Get existing arguments from form and position the new one
# with the next argument number
form_arguments = form.arguments()
number = max([-1] + [arg.number() for arg in form_arguments]) + 1
# NOTE : Mixed-domains problems need to have arg.part() != None
# if any(arg.part() is not None for arg in form_arguments):
# raise RuntimeError("Compute derivative of form, cannot automatically create new Argument using parts, please supply one")
part = None
if isinstance(u, Function):
# u.part() is None except with mixed-domains
part = u.part()
V = u.function_space()
du = Argument(V, number, part)
elif isinstance(u, SpatialCoordinate):
mesh = u.ufl_domain().ufl_cargo()
element = u.ufl_domain().ufl_coordinate_element()
V = FunctionSpace(mesh, element)
du = Argument(V, number, part)
elif isinstance(u, (list, tuple)) and all(
isinstance(w, Function) for w in u):
raise RuntimeError(
"Taking derivative of form w.r.t. a tuple of Coefficients. Take derivative w.r.t. a single Coefficient on a mixed space instead."
)
else:
raise RuntimeError(
"Computing derivative of form w.r.t. '{}'. Supply Function as a Coefficient"
.format(u))
return ufl.derivative(form, u, du, coefficient_derivatives)
def set_poisson_eq_2d(n=8):
'''
Basic example where only the mesh refinement is controlled.
'''
# mesh
mesh = UnitSquareMesh(n, n)
# function space
V = FunctionSpace(mesh, 'P', 1)
# bcs
u_D = Expression('1 + x[0]*x[0] + 2*x[1]*x[1]', degree=2)
def boundary(x, on_boundary):
return on_boundary
bc = DirichletBC(V, u_D, boundary)
# variational problem
u = TrialFunction(V)
v = TestFunction(V)
f = Constant(-6.0)
a = dot(grad(u), grad(v)) * dx
L = f * v * dx
# define unknown
u = Function(V)
return a, L, u, bc
def increase_order(V):
"""For a given function space, return the same space, but with a
higher polynomial degree
"""
mesh = V.mesh()
element = ufl.algorithms.elementtransformations.increase_order(V.ufl_element())
constrained_domain = V.dofmap().constrained_domain
return FunctionSpace(mesh, element, constrained_domain=constrained_domain)
def set_linear_dirichlet_constant(mesh,
dt,
var_name='Temperature',
bc_temperature=1300.,
temperature=300.,
source_value=0.,
axis=1,
right=True,
tol=1e-4,
conductivity=1.,
density=1.,
specific_heat=1.):
'''
Heat equation problem where an edge/surface is set at a given temperature
and everything else at another.
Parameters
----------
axis : int
Controls boundary to which Dirichlet bc is applied.
right : bool
Dirichlet bc is applied to the planar and perpendicular face found in
the max (True) or min (False) coordinate.
'''
# function space
V = FunctionSpace(mesh, 'Lagrange', 1)
# boundary conditions
bcs = [
set_dirichlet_bc_lim(V,
value=bc_temperature,
axis=axis,
right=right,
tol=tol)
]
# initial condition
u_initial = Constant(temperature)
u_n = Function(V, name=var_name)
u_n.interpolate(u_initial)
# problem formulation
f = Constant(source_value)
u_n, a, L = get_formulation_constant_props(V,
u_initial,
f,
dt,
conductivity,
density,
specific_heat,
var_name=var_name)
u = Function(V, name=var_name)
return u_n, a, L, u, bcs
def change_regularity(V, family):
"""For a given function space, return the corresponding space with
the finite elements specified by 'family'. Possible families are
the families supported by the form compiler
"""
mesh = V.mesh()
element = ufl.algorithms.elementtransformations.change_regularity(V.ufl_element(), family)
constrained_domain = V.dofmap().constrained_domain
return FunctionSpace(mesh, element, constrained_domain=constrained_domain)
def set_linear_equal_opposite(mesh,
dt,
var_name='Temperature',
axis=0,
bc_temperature=300.,
source_value=0.,
conductivity=1.,
density=1.,
specific_heat=1.,
V=None):
'''
Heat equation problem where two opposite edges/faces are set at the same
temperature and the points in between follow a quadratic variation.
Notes
-----
* assumes opposite faces of interest are planar and perpendicular to the
axis.
'''
# function space
if V is None:
V = FunctionSpace(mesh, 'Lagrange', 1)
# boundary conditions
x_min, x_max = get_mesh_axis_lims(mesh, axis)
bcs = [
set_dirichlet_bc(V, x, bc_temperature, axis) for x in [x_min, x_max]
]
# initial condition
c = (x_max - x_min) / 2
param = bc_temperature / (c**2)
u_initial = Expression('param * (x[axis] - c) * (x[axis] - c)',
degree=2,
param=param,
c=c,
name='T',
axis=axis)
# problem formulation
f = Constant(source_value)
u_n, a, L = get_formulation_constant_props(V,
u_initial,
f,
dt,
conductivity,
density,
specific_heat,
var_name=var_name)
u = Function(V, name=var_name)
return u_n, a, L, u, bcs
def formulate_laplacian(mesh, V=None):
if V is None:
V = FunctionSpace(mesh, 'CG', 1)
u_h = TrialFunction(V)
v = TestFunction(V)
a = inner(grad(u_h), grad(v)) * dx
b = inner(u_h, v) * dx
dummy = inner(1., v) * dx
return V, a, b, dummy
def _extract_function_space(expression, mesh):
"""Try to extract a suitable function space for projection of given
expression.
"""
# Get mesh from expression
if mesh is None:
domain = expression.ufl_domain()
if domain is not None:
mesh = domain.ufl_cargo()
# Extract mesh from functions
if mesh is None:
# (Not sure if this code is relevant anymore, the above code
# should cover this)
# Extract functions
functions = ufl.algorithms.extract_coefficients(expression)
for f in functions:
if isinstance(f, Function):
mesh = f.function_space().mesh()
if mesh is not None:
break
if mesh is None:
cpp.dolfin_error(
"projection.py", "extract function space",
"Unable to project expression, can't find "
"a suitable mesh.")
# Create function space
shape = expression.ufl_shape
if shape == ():
V = FunctionSpace(mesh, "Lagrange", 1)
elif len(shape) == 1:
V = VectorFunctionSpace(mesh, "Lagrange", 1, dim=shape[0])
elif len(shape) == 2:
V = TensorFunctionSpace(mesh, "Lagrange", 1, shape=shape)
else:
cpp.dolfin_error("projection.py", "extract function space",
"Unhandled rank, shape is %s." % (shape, ))
return V
def __init_from_ufl(self, multimesh, element):
self.info = [element]
if not isinstance(element, ufl.FiniteElementBase):
cpp.dolfin_error(
"multimeshfunctionspace.py", "create function space",
"Illegal argument, not a finite element: " + str(element))
# Create and add individual function spaces
V = cpp.function.MultiMeshFunctionSpace(multimesh)
V_parts = []
for part in range(multimesh.num_parts()):
V_part = FunctionSpace(multimesh.part(part), element)
V_parts.append(V_part)
V.add(V_part)
# Build multimesh function space
V.build()
# Store full function spaces
self._parts = V_parts
self._cpp_object = V
def __init__(self,
V: functionspace.FunctionSpace,
x: typing.Optional[PETSc.Vec] = None,
name: typing.Optional[str] = None):
"""Initialize finite element Function."""
# Create cpp Function
if x is not None:
self._cpp_object = cpp.function.Function(V._cpp_object, x)
else:
self._cpp_object = cpp.function.Function(V._cpp_object)
# Initialize the ufl.FunctionSpace
super().__init__(V.ufl_function_space(), count=self._cpp_object.id)
# Set name
if name is None:
self.rename("f_{}".format(self.count()))
else:
self.rename(name)
# Store DOLFIN FunctionSpace object
self._V = V
def errornorm(u, uh, norm_type="l2", degree_rise=3, mesh=None):
"""
Compute and return the error :math:`e = u - u_h` in the given norm.
*Arguments*
u, uh
:py:class:`Functions <dolfin.functions.function.Function>`
norm_type
Type of norm. The :math:`L^2` -norm is default.
For other norms, see :py:func:`norm <dolfin.fem.norms.norm>`.
degree_rise
The number of degrees above that of u_h used in the
interpolation; i.e. the degree of piecewise polynomials used
to approximate :math:`u` and :math:`u_h` will be the degree
of :math:`u_h` + degree_raise.
mesh
Optional :py:class:`Mesh <dolfin.cpp.Mesh>` on
which to compute the error norm.
In simple cases, one may just define
.. code-block:: python
e = u - uh
and evalute for example the square of the error in the :math:`L^2` -norm by
.. code-block:: python
assemble(e**2*dx(mesh))
However, this is not stable w.r.t. round-off errors considering that
the form compiler may expand(#) the expression above to::
e**2*dx = u**2*dx - 2*u*uh*dx + uh**2*dx
and this might get further expanded into thousands of terms for
higher order elements. Thus, the error will be evaluated by adding
a large number of terms which should sum up to something close to
zero (if the error is small).
This module computes the error by first interpolating both
:math:`u` and :math:`u_h` to a common space (of high accuracy),
then subtracting the two fields (which is easy since they are
expressed in the same basis) and then evaluating the integral.
(#) If using the tensor representation optimizations.
The quadrature represenation does not suffer from this problem.
"""
# Check argument
# if not isinstance(u, cpp.function.GenericFunction):
# cpp.dolfin_error("norms.py",
# "compute error norm",
# "Expecting a Function or Expression for u")
# if not isinstance(uh, cpp.function.Function):
# cpp.dolfin_error("norms.py",
# "compute error norm",
# "Expecting a Function for uh")
# Get mesh
if isinstance(u, cpp.function.Function) and mesh is None:
mesh = u.function_space().mesh()
if isinstance(uh, cpp.function.Function) and mesh is None:
mesh = uh.function_space().mesh()
if hasattr(uh, "_cpp_object") and mesh is None:
mesh = uh._cpp_object.function_space().mesh()
if hasattr(u, "_cpp_object") and mesh is None:
mesh = u._cpp_object.function_space().mesh()
if mesh is None:
cpp.dolfin_error("norms.py",
"compute error norm",
"Missing mesh")
# Get rank
if not u.ufl_shape == uh.ufl_shape:
cpp.dolfin_error("norms.py",
"compute error norm",
"Value shapes don't match")
shape = u.ufl_shape
rank = len(shape)
# Check that uh is associated with a finite element
if uh.ufl_element().degree() is None:
cpp.dolfin_error("norms.py",
"compute error norm",
"Function uh must have a finite element")
# Degree for interpolation space. Raise degree with respect to uh.
degree = uh.ufl_element().degree() + degree_rise
# Check degree of 'exact' solution u
degree_u = u.ufl_element().degree()
if degree_u is not None and degree_u < degree:
cpp.warning("Degree of exact solution may be inadequate for accurate result in errornorm.")
# Create function space
if rank == 0:
V = FunctionSpace(mesh, "Discontinuous Lagrange", degree)
elif rank == 1:
V = VectorFunctionSpace(mesh, "Discontinuous Lagrange", degree,
dim=shape[0])
elif rank > 1:
V = TensorFunctionSpace(mesh, "Discontinuous Lagrange", degree,
shape=shape)
# Interpolate functions into finite element space
pi_u = interpolate(u, V)
pi_uh = interpolate(uh, V)
# Compute the difference
e = Function(V)
e.assign(pi_u)
e.vector().axpy(-1.0, pi_uh.vector())
# Compute norm
return norm(e, norm_type=norm_type, mesh=mesh)
def project(v, V=None, bcs=None, mesh=None,
function=None,
solver_type="lu",
preconditioner_type="default",
form_compiler_parameters=None):
"""Return projection of given expression *v* onto the finite element
space *V*.
*Arguments*
v
a :py:class:`Function <dolfin.functions.function.Function>` or
an :py:class:`Expression <dolfin.functions.expression.Expression>`
bcs
Optional argument :py:class:`list of DirichletBC
<dolfin.fem.bcs.DirichletBC>`
V
Optional argument :py:class:`FunctionSpace
<dolfin.functions.functionspace.FunctionSpace>`
mesh
Optional argument :py:class:`mesh <dolfin.cpp.Mesh>`.
solver_type
see :py:func:`solve <dolfin.fem.solving.solve>` for options.
preconditioner_type
see :py:func:`solve <dolfin.fem.solving.solve>` for options.
form_compiler_parameters
see :py:class:`Parameters <dolfin.cpp.Parameters>` for more
information.
*Example of usage*
.. code-block:: python
v = Expression("sin(pi*x[0])")
V = FunctionSpace(mesh, "Lagrange", 1)
Pv = project(v, V)
This is useful for post-processing functions or expressions
which are not readily handled by visualization tools (such as
for example discontinuous functions).
"""
# Try figuring out a function space if not specified
if V is None:
# Create function space based on Expression element if trying
# to project an Expression
if isinstance(v, dolfin.function.expression.Expression):
if mesh is not None and isinstance(mesh, cpp.mesh.Mesh):
V = FunctionSpace(mesh, v.ufl_element())
# else:
# cpp.dolfin_error("projection.py",
# "perform projection",
# "Expected a mesh when projecting an Expression")
else:
# Otherwise try extracting function space from expression
V = _extract_function_space(v, mesh)
# Projection into a MultiMeshFunctionSpace
if isinstance(V, MultiMeshFunctionSpace):
# Create the measuresum of uncut and cut-cells
dX = ufl.dx() + ufl.dC()
# Define variational problem for projection
w = TestFunction(V)
Pv = TrialFunction(V)
a = ufl.inner(w, Pv) * dX
L = ufl.inner(w, v) * dX
# Assemble linear system
A = assemble_multimesh(a, form_compiler_parameters=form_compiler_parameters)
b = assemble_multimesh(L, form_compiler_parameters=form_compiler_parameters)
# Solve linear system for projection
if function is None:
function = MultiMeshFunction(V)
cpp.la.solve(A, function.vector(), b, solver_type, preconditioner_type)
return function
# Ensure we have a mesh and attach to measure
if mesh is None:
mesh = V.mesh()
dx = ufl.dx(mesh)
# Define variational problem for projection
w = TestFunction(V)
Pv = TrialFunction(V)
a = ufl.inner(w, Pv) * dx
L = ufl.inner(w, v) * dx
# Assemble linear system
A, b = assemble_system(a, L, bcs=bcs,
form_compiler_parameters=form_compiler_parameters)
# Solve linear system for projection
if function is None:
function = Function(V)
cpp.la.solve(A, function.vector(), b, solver_type, preconditioner_type)
return function
def leaf_node(self):
u = self._cpp_object.leaf_node()
return Function(FunctionSpace(u.function_space()), u.vector())
def function_space(self):
"Return the FunctionSpace"
return FunctionSpace(self._cpp_object.function_space())
def project(v, V=None, func_degree=None, bcs=None, mesh=None,
function=None,
solver_type="lu",
preconditioner_type="default",
form_compiler_parameters=None):
"""
This function is a modification of FEniCS's built-in project function that adopts the :math:`r^2dr`
measure as opposed to the standard Cartesian :math:`dx` measure.
For documentation and usage, see the
`original module <https://bitbucket.org/fenics-project/dolfin/src/master/python/dolfin/fem/projection.py>`_.
.. note:: Note the extra argument func_degree: this is used to interpolate the :math:`r^2`
Expression to the same degree as used in the definition of the Trial and Test function
spaces.
"""
# Try figuring out a function space if not specified
if V is None:
# Create function space based on Expression element if trying
# to project an Expression
if isinstance(v, Expression):
# FIXME: Add handling of cpp.MultiMesh
if mesh is not None and isinstance(mesh, cpp.mesh.Mesh):
V = FunctionSpace(mesh, v.ufl_element())
# else:
# cpp.dolfin_error("projection.py",
# "perform projection",
# "Expected a mesh when projecting an Expression")
else:
# Otherwise try extracting function space from expression
V = _extract_function_space(v, mesh)
# Ensure we have a mesh and attach to measure
if mesh is None:
mesh = V.mesh()
dx = ufl.dx(mesh)
# Define variational problem for projection
# DS: HERE IS WHERE I MODIFY
r2 = Expression('pow(x[0],2)', degree=func_degree)
w = TestFunction(V)
Pv = TrialFunction(V)
a = ufl.inner(w, Pv) * r2 * dx
L = ufl.inner(w, v) * r2 * dx
# Assemble linear system
A, b = assemble_system(a, L, bcs=bcs,
form_compiler_parameters=form_compiler_parameters)
# Solve linear system for projection
if function is None:
function = Function(V)
cpp.la.solve(A, function.vector(), b, solver_type, preconditioner_type)
return function
def r2_errornorm(u, uh, norm_type="l2", degree_rise=3, mesh=None ):
"""
This function is a modification of FEniCS's built-in errornorm function that adopts the :math:`r^2dr`
measure as opposed to the standard Cartesian :math:`dx` measure.
For documentation and usage, see the
original module <https://bitbucket.org/fenics-project/dolfin/src/master/python/dolfin/fem/norms.py>_.
"""
# Get mesh
if isinstance(u, cpp.function.Function) and mesh is None:
mesh = u.function_space().mesh()
if isinstance(uh, cpp.function.Function) and mesh is None:
mesh = uh.function_space().mesh()
# if isinstance(uh, MultiMeshFunction) and mesh is None:
# mesh = uh.function_space().multimesh()
if hasattr(uh, "_cpp_object") and mesh is None:
mesh = uh._cpp_object.function_space().mesh()
if hasattr(u, "_cpp_object") and mesh is None:
mesh = u._cpp_object.function_space().mesh()
if mesh is None:
raise RuntimeError("Cannot compute error norm. Missing mesh.")
# Get rank
if not u.ufl_shape == uh.ufl_shape:
raise RuntimeError("Cannot compute error norm. Value shapes do not match.")
shape = u.ufl_shape
rank = len(shape)
# Check that uh is associated with a finite element
if uh.ufl_element().degree() is None:
raise RuntimeError("Cannot compute error norm. Function uh must have a finite element.")
# Degree for interpolation space. Raise degree with respect to uh.
degree = uh.ufl_element().degree() + degree_rise
# Check degree of 'exact' solution u
degree_u = u.ufl_element().degree()
if degree_u is not None and degree_u < degree:
cpp.warning("Degree of exact solution may be inadequate for accurate result in errornorm.")
# Create function space
if rank == 0:
V = FunctionSpace(mesh, "Discontinuous Lagrange", degree)
elif rank == 1:
V = VectorFunctionSpace(mesh, "Discontinuous Lagrange", degree,
dim=shape[0])
elif rank > 1:
V = TensorFunctionSpace(mesh, "Discontinuous Lagrange", degree,
shape=shape)
# Interpolate functions into finite element space
pi_u = interpolate(u, V)
pi_uh = interpolate(uh, V)
# Compute the difference
e = Function(V)
e.assign(pi_u)
e.vector().axpy(-1.0, pi_uh.vector())
# Compute norm
return r2_norm(e, func_degree=degree, norm_type=norm_type, mesh=mesh )
def __init__(self, V: FunctionSpace, number: int, part: int = None):
"""Create a UFL/DOLFIN Argument"""
ufl.Argument.__init__(self, V.ufl_function_space(), number, part)
self._V = V
