def discretize_CircleDomain():
ni = int(m.ceil(domain_description.width / diameter))
grid = OnedGrid(domain=domain_description.domain,
num_intervals=ni,
identify_left_right=True)
bi = EmptyBoundaryInfo(grid)
return grid, bi
def discretize_TorusDomain():
if grid_type == RectGrid:
x0i = int(m.ceil(domain_description.width * m.sqrt(2) / diameter))
x1i = int(m.ceil(domain_description.height * m.sqrt(2) / diameter))
elif grid_type == TriaGrid:
x0i = int(m.ceil(domain_description.width / diameter))
x1i = int(m.ceil(domain_description.height / diameter))
else:
raise NotImplementedError
grid = grid_type(domain=domain_description.domain, num_intervals=(x0i, x1i),
identify_left_right=True, identify_bottom_top=True)
bi = EmptyBoundaryInfo(grid)
return grid, bi
def discretize_stationary_cg(analytical_problem,
diameter=None,
domain_discretizer=None,
grid_type=None,
grid=None,
boundary_info=None,
preassemble=True):
"""Discretizes a |StationaryProblem| using finite elements.
Parameters
----------
analytical_problem
The |StationaryProblem| to discretize.
diameter
If not `None`, `diameter` is passed as an argument to the `domain_discretizer`.
domain_discretizer
Discretizer to be used for discretizing the analytical domain. This has
to be a function `domain_discretizer(domain_description, diameter, ...)`.
If `None`, |discretize_domain_default| is used.
grid_type
If not `None`, this parameter is forwarded to `domain_discretizer` to specify
the type of the generated |Grid|.
grid
Instead of using a domain discretizer, the |Grid| can also be passed directly
using this parameter.
boundary_info
A |BoundaryInfo| specifying the boundary types of the grid boundary entities.
Must be provided if `grid` is specified.
preassemble
If `True`, preassemble all operators in the resulting |Model|.
Returns
-------
m
The |Model| that has been generated.
data
Dictionary with the following entries:
:grid: The generated |Grid|.
:boundary_info: The generated |BoundaryInfo|.
:unassembled_m: In case `preassemble` is `True`, the generated |Model|
before preassembling operators.
"""
assert isinstance(analytical_problem, StationaryProblem)
assert grid is None or boundary_info is not None
assert boundary_info is None or grid is not None
assert grid is None or domain_discretizer is None
assert grid_type is None or grid is None
p = analytical_problem
if not (p.nonlinear_advection == p.nonlinear_advection_derivative ==
p.nonlinear_reaction == p.nonlinear_reaction_derivative is None):
raise NotImplementedError
if grid is None:
domain_discretizer = domain_discretizer or discretize_domain_default
if grid_type:
domain_discretizer = partial(domain_discretizer,
grid_type=grid_type)
if diameter is None:
grid, boundary_info = domain_discretizer(p.domain)
else:
grid, boundary_info = domain_discretizer(p.domain,
diameter=diameter)
assert grid.reference_element in (line, triangle, square)
if grid.reference_element is square:
DiffusionOperator = DiffusionOperatorQ1
AdvectionOperator = AdvectionOperatorQ1
ReactionOperator = L2ProductQ1
L2Functional = L2ProductFunctionalQ1
BoundaryL2Functional = BoundaryL2ProductFunctional
else:
DiffusionOperator = DiffusionOperatorP1
AdvectionOperator = AdvectionOperatorP1
ReactionOperator = L2ProductP1
L2Functional = L2ProductFunctionalP1
BoundaryL2Functional = BoundaryL2ProductFunctional
Li = [
DiffusionOperator(grid,
boundary_info,
diffusion_constant=0,
name='boundary_part')
]
coefficients = [1.]
# diffusion part
if isinstance(p.diffusion, LincombFunction):
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=df,
dirichlet_clear_diag=True,
name=f'diffusion_{i}')
for i, df in enumerate(p.diffusion.functions)
]
coefficients += list(p.diffusion.coefficients)
elif p.diffusion is not None:
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=p.diffusion,
dirichlet_clear_diag=True,
name='diffusion')
]
coefficients.append(1.)
# advection part
if isinstance(p.advection, LincombFunction):
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=af,
dirichlet_clear_diag=True,
name=f'advection_{i}')
for i, af in enumerate(p.advection.functions)
]
coefficients += list(p.advection.coefficients)
elif p.advection is not None:
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=p.advection,
dirichlet_clear_diag=True,
name='advection')
]
coefficients.append(1.)
# reaction part
if isinstance(p.reaction, LincombFunction):
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=rf,
dirichlet_clear_diag=True,
name=f'reaction_{i}')
for i, rf in enumerate(p.reaction.functions)
]
coefficients += list(p.reaction.coefficients)
elif p.reaction is not None:
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=p.reaction,
dirichlet_clear_diag=True,
name='reaction')
]
coefficients.append(1.)
# robin boundaries
if p.robin_data is not None:
assert isinstance(p.robin_data, tuple) and len(p.robin_data) == 2
if isinstance(p.robin_data[0], LincombFunction):
for i, rd in enumerate(p.robin_data[0].functions):
robin_tuple = (rd, p.robin_data[1])
Li += [
RobinBoundaryOperator(grid,
boundary_info,
robin_data=robin_tuple,
name=f'robin_{i}')
]
coefficients += list(p.robin_data[0].coefficients)
else:
Li += [
RobinBoundaryOperator(grid,
boundary_info,
robin_data=p.robin_data,
name=f'robin')
]
coefficients.append(1.)
L = LincombOperator(operators=Li,
coefficients=coefficients,
name='ellipticOperator')
# right-hand side
rhs = p.rhs or ConstantFunction(0., dim_domain=p.domain.dim)
Fi = []
coefficients_F = []
if isinstance(p.rhs, LincombFunction):
Fi += [
L2Functional(grid,
rh,
dirichlet_clear_dofs=True,
boundary_info=boundary_info,
name=f'rhs_{i}')
for i, rh in enumerate(p.rhs.functions)
]
coefficients_F += list(p.rhs.coefficients)
else:
Fi += [
L2Functional(grid,
rhs,
dirichlet_clear_dofs=True,
boundary_info=boundary_info,
name='rhs')
]
coefficients_F.append(1.)
if p.neumann_data is not None and boundary_info.has_neumann:
if isinstance(p.neumann_data, LincombFunction):
Fi += [
BoundaryL2Functional(grid,
-ne,
boundary_info=boundary_info,
boundary_type='neumann',
dirichlet_clear_dofs=True,
name=f'neumann_{i}')
for i, ne in enumerate(p.neumann_data.functions)
]
coefficients_F += list(p.neumann_data.coefficients)
else:
Fi += [
BoundaryL2Functional(grid,
-p.neumann_data,
boundary_info=boundary_info,
boundary_type='neumann',
dirichlet_clear_dofs=True)
]
coefficients_F.append(1.)
if p.robin_data is not None and boundary_info.has_robin:
if isinstance(p.robin_data[0], LincombFunction):
Fi += [
BoundaryL2Functional(grid,
rob * p.robin_data[1],
boundary_info=boundary_info,
boundary_type='robin',
dirichlet_clear_dofs=True,
name=f'robin_{i}')
for i, rob in enumerate(p.robin_data[0].functions)
]
coefficients_F += list(p.robin_data[0].coefficients)
else:
Fi += [
BoundaryL2Functional(grid,
p.robin_data[0] * p.robin_data[1],
boundary_info=boundary_info,
boundary_type='robin',
dirichlet_clear_dofs=True)
]
coefficients_F.append(1.)
if p.dirichlet_data is not None and boundary_info.has_dirichlet:
if isinstance(p.dirichlet_data, LincombFunction):
Fi += [
BoundaryDirichletFunctional(grid,
di,
boundary_info,
name=f'dirichlet{i}')
for i, di in enumerate(p.dirichlet_data.functions)
]
coefficients_F += list(p.dirichlet_data.coefficients)
else:
Fi += [
BoundaryDirichletFunctional(grid, p.dirichlet_data,
boundary_info)
]
coefficients_F.append(1.)
F = LincombOperator(operators=Fi,
coefficients=coefficients_F,
name='rhsOperator')
if grid.reference_element in (triangle, square):
visualizer = PatchVisualizer(grid=grid,
bounding_box=grid.bounding_box(),
codim=2)
elif grid.reference_element is line:
visualizer = OnedVisualizer(grid=grid, codim=1)
else:
visualizer = None
Prod = L2ProductQ1 if grid.reference_element is square else L2ProductP1
empty_bi = EmptyBoundaryInfo(grid)
l2_product = Prod(grid, empty_bi, name='l2')
l2_0_product = Prod(grid,
boundary_info,
dirichlet_clear_columns=True,
name='l2_0')
h1_semi_product = DiffusionOperator(grid, empty_bi, name='h1_semi')
h1_0_semi_product = DiffusionOperator(grid,
boundary_info,
dirichlet_clear_columns=True,
name='h1_0_semi')
products = {
'h1': l2_product + h1_semi_product,
'h1_semi': h1_semi_product,
'l2': l2_product,
'h1_0': l2_0_product + h1_0_semi_product,
'h1_0_semi': h1_0_semi_product,
'l2_0': l2_0_product
}
# assemble additionals output functionals
if p.outputs:
if any(v[0] not in ('l2', 'l2_boundary') for v in p.outputs):
raise NotImplementedError
outputs = [
L2Functional(grid, v[1], dirichlet_clear_dofs=False).H
if v[0] == 'l2' else BoundaryL2Functional(
grid, v[1], dirichlet_clear_dofs=False).H for v in p.outputs
]
if len(outputs) > 1:
from pymor.operators.block import BlockColumnOperator
output_functional = BlockColumnOperator(outputs)
else:
output_functional = outputs[0]
else:
output_functional = None
parameter_space = p.parameter_space if hasattr(p,
'parameter_space') else None
m = StationaryModel(L,
F,
output_functional=output_functional,
products=products,
visualizer=visualizer,
parameter_space=parameter_space,
name=f'{p.name}_CG')
data = {'grid': grid, 'boundary_info': boundary_info}
if preassemble:
data['unassembled_m'] = m
m = preassemble_(m)
return m, data
def discretize_elliptic_cg(analytical_problem,
diameter=None,
domain_discretizer=None,
grid=None,
boundary_info=None):
"""Discretizes an |EllipticProblem| using finite elements.
Parameters
----------
analytical_problem
The |EllipticProblem| to discretize.
diameter
If not `None`, `diameter` is passed to the `domain_discretizer`.
domain_discretizer
Discretizer to be used for discretizing the analytical domain. This has
to be a function `domain_discretizer(domain_description, diameter, ...)`.
If further arguments should be passed to the discretizer, use
:func:`functools.partial`. If `None`, |discretize_domain_default| is used.
grid
Instead of using a domain discretizer, the |Grid| can also be passed directly
using this parameter.
boundary_info
A |BoundaryInfo| specifying the boundary types of the grid boundary entities.
Must be provided if `grid` is specified.
Returns
-------
discretization
The |Discretization| that has been generated.
data
Dictionary with the following entries:
:grid: The generated |Grid|.
:boundary_info: The generated |BoundaryInfo|.
"""
assert isinstance(analytical_problem, EllipticProblem)
assert grid is None or boundary_info is not None
assert boundary_info is None or grid is not None
assert grid is None or domain_discretizer is None
if grid is None:
domain_discretizer = domain_discretizer or discretize_domain_default
if diameter is None:
grid, boundary_info = domain_discretizer(analytical_problem.domain)
else:
grid, boundary_info = domain_discretizer(analytical_problem.domain,
diameter=diameter)
assert isinstance(grid, (OnedGrid, TriaGrid, RectGrid))
if isinstance(grid, RectGrid):
Operator = cg.DiffusionOperatorQ1
Functional = cg.L2ProductFunctionalQ1
else:
Operator = cg.DiffusionOperatorP1
Functional = cg.L2ProductFunctionalP1
p = analytical_problem
if p.diffusion_functionals is not None:
L0 = Operator(grid,
boundary_info,
diffusion_constant=0,
name='diffusion_boundary_part')
Li = [
Operator(grid,
boundary_info,
diffusion_function=df,
dirichlet_clear_diag=True,
name='diffusion_{}'.format(i))
for i, df in enumerate(p.diffusion_functions)
]
L = LincombOperator(operators=[L0] + Li,
coefficients=[1.] + list(p.diffusion_functionals),
name='diffusion')
else:
assert len(p.diffusion_functions) == 1
L = Operator(grid,
boundary_info,
diffusion_function=p.diffusion_functions[0],
name='diffusion')
F = Functional(grid,
p.rhs,
boundary_info,
dirichlet_data=p.dirichlet_data,
neumann_data=p.neumann_data)
if isinstance(grid, (TriaGrid, RectGrid)):
visualizer = PatchVisualizer(grid=grid,
bounding_box=grid.domain,
codim=2)
else:
visualizer = Matplotlib1DVisualizer(grid=grid, codim=1)
empty_bi = EmptyBoundaryInfo(grid)
l2_product = cg.L2ProductQ1(grid, empty_bi) if isinstance(
grid, RectGrid) else cg.L2ProductP1(grid, empty_bi)
h1_semi_product = Operator(grid, empty_bi)
products = {
'h1': l2_product + h1_semi_product,
'h1_semi': h1_semi_product,
'l2': l2_product
}
parameter_space = p.parameter_space if hasattr(p,
'parameter_space') else None
discretization = StationaryDiscretization(L,
F,
products=products,
visualizer=visualizer,
parameter_space=parameter_space,
name='{}_CG'.format(p.name))
return discretization, {'grid': grid, 'boundary_info': boundary_info}
def discretize_stationary_cg(analytical_problem,
diameter=None,
domain_discretizer=None,
grid_type=None,
grid=None,
boundary_info=None,
preassemble=True):
"""Discretizes an |StationaryProblem| using finite elements.
Parameters
----------
analytical_problem
The |StationaryProblem| to discretize.
diameter
If not `None`, `diameter` is passed as an argument to the `domain_discretizer`.
domain_discretizer
Discretizer to be used for discretizing the analytical domain. This has
to be a function `domain_discretizer(domain_description, diameter, ...)`.
If `None`, |discretize_domain_default| is used.
grid_type
If not `None`, this parameter is forwarded to `domain_discretizer` to specify
the type of the generated |Grid|.
grid
Instead of using a domain discretizer, the |Grid| can also be passed directly
using this parameter.
boundary_info
A |BoundaryInfo| specifying the boundary types of the grid boundary entities.
Must be provided if `grid` is specified.
preassemble
If `True`, preassemble all operators in the resulting |Discretization|.
Returns
-------
d
The |Discretization| that has been generated.
data
Dictionary with the following entries:
:grid: The generated |Grid|.
:boundary_info: The generated |BoundaryInfo|.
"""
assert isinstance(analytical_problem, StationaryProblem)
assert grid is None or boundary_info is not None
assert boundary_info is None or grid is not None
assert grid is None or domain_discretizer is None
assert grid_type is None or grid is None
p = analytical_problem
if not (p.nonlinear_advection == p.nonlinear_advection_derivative ==
p.nonlinear_reaction == p.nonlinear_reaction_derivative == None):
raise NotImplementedError
if grid is None:
domain_discretizer = domain_discretizer or discretize_domain_default
if grid_type:
domain_discretizer = partial(domain_discretizer,
grid_type=grid_type)
if diameter is None:
grid, boundary_info = domain_discretizer(p.domain)
else:
grid, boundary_info = domain_discretizer(p.domain,
diameter=diameter)
assert grid.reference_element in (line, triangle, square)
if grid.reference_element is square:
DiffusionOperator = DiffusionOperatorQ1
AdvectionOperator = AdvectionOperatorQ1
ReactionOperator = L2ProductQ1
Functional = L2ProductFunctionalQ1
else:
DiffusionOperator = DiffusionOperatorP1
AdvectionOperator = AdvectionOperatorP1
ReactionOperator = L2ProductP1
Functional = L2ProductFunctionalP1
Li = [
DiffusionOperator(grid,
boundary_info,
diffusion_constant=0,
name='boundary_part')
]
coefficients = [1.]
# diffusion part
if isinstance(p.diffusion, LincombFunction):
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=df,
dirichlet_clear_diag=True,
name='diffusion_{}'.format(i))
for i, df in enumerate(p.diffusion.functions)
]
coefficients += list(p.diffusion.coefficients)
elif p.diffusion is not None:
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=p.diffusion,
dirichlet_clear_diag=True,
name='diffusion')
]
coefficients.append(1.)
# advection part
if isinstance(p.advection, LincombFunction):
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=af,
dirichlet_clear_diag=True,
name='advection_{}'.format(i))
for i, af in enumerate(p.advection.functions)
]
coefficients += list(p.advection.coefficients)
elif p.advection is not None:
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=p.advection,
dirichlet_clear_diag=True,
name='advection')
]
coefficients.append(1.)
# reaction part
if isinstance(p.reaction, LincombFunction):
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=rf,
dirichlet_clear_diag=True,
name='reaction_{}'.format(i))
for i, rf in enumerate(p.reaction.functions)
]
coefficients += list(p.reaction.coefficients)
elif p.reaction is not None:
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=p.reaction,
dirichlet_clear_diag=True,
name='reaction')
]
coefficients.append(1.)
# robin boundaries
if p.robin_data is not None:
if grid.reference_element is square:
raise NotImplementedError
Li += [
RobinBoundaryOperator(grid,
boundary_info,
robin_data=p.robin_data,
order=2,
name='robin')
]
coefficients.append(1.)
L = LincombOperator(operators=Li,
coefficients=coefficients,
name='ellipticOperator')
rhs = p.rhs or ConstantFunction(0., dim_domain=p.domain.dim)
F = Functional(grid,
rhs,
boundary_info,
dirichlet_data=p.dirichlet_data,
neumann_data=p.neumann_data)
if grid.reference_element in (triangle, square):
visualizer = PatchVisualizer(grid=grid,
bounding_box=grid.bounding_box(),
codim=2)
elif grid.reference_element is line:
visualizer = OnedVisualizer(grid=grid, codim=1)
else:
visualizer = None
Prod = L2ProductQ1 if grid.reference_element is square else L2ProductP1
empty_bi = EmptyBoundaryInfo(grid)
l2_product = Prod(grid, empty_bi, name='l2')
l2_0_product = Prod(grid,
boundary_info,
dirichlet_clear_columns=True,
name='l2_0')
h1_semi_product = DiffusionOperator(grid, empty_bi, name='h1_semi')
h1_0_semi_product = DiffusionOperator(grid,
boundary_info,
dirichlet_clear_columns=True,
name='h1_0_semi')
products = {
'h1': l2_product + h1_semi_product,
'h1_semi': h1_semi_product,
'l2': l2_product,
'h1_0': l2_0_product + h1_0_semi_product,
'h1_0_semi': h1_0_semi_product,
'l2_0': l2_0_product
}
parameter_space = p.parameter_space if hasattr(p,
'parameter_space') else None
d = StationaryDiscretization(L,
F,
products=products,
visualizer=visualizer,
parameter_space=parameter_space,
name='{}_CG'.format(p.name))
data = {'grid': grid, 'boundary_info': boundary_info}
if preassemble:
data['unassembled_d'] = d
d = preassemble_(d)
return d, data
def discretize_elliptic_cg(analytical_problem,
diameter=None,
domain_discretizer=None,
grid=None,
boundary_info=None):
"""Discretizes an |EllipticProblem| using finite elements.
Parameters
----------
analytical_problem
The |EllipticProblem| to discretize.
diameter
If not `None`, `diameter` is passed to the `domain_discretizer`.
domain_discretizer
Discretizer to be used for discretizing the analytical domain. This has
to be a function `domain_discretizer(domain_description, diameter, ...)`.
If further arguments should be passed to the discretizer, use
:func:`functools.partial`. If `None`, |discretize_domain_default| is used.
grid
Instead of using a domain discretizer, the |Grid| can also be passed directly
using this parameter.
boundary_info
A |BoundaryInfo| specifying the boundary types of the grid boundary entities.
Must be provided if `grid` is specified.
Returns
-------
discretization
The |Discretization| that has been generated.
data
Dictionary with the following entries:
:grid: The generated |Grid|.
:boundary_info: The generated |BoundaryInfo|.
"""
assert isinstance(analytical_problem, EllipticProblem)
assert grid is None or boundary_info is not None
assert boundary_info is None or grid is not None
assert grid is None or domain_discretizer is None
if grid is None:
domain_discretizer = domain_discretizer or discretize_domain_default
if diameter is None:
grid, boundary_info = domain_discretizer(analytical_problem.domain)
else:
grid, boundary_info = domain_discretizer(analytical_problem.domain,
diameter=diameter)
assert grid.reference_element in (line, triangle, square)
if grid.reference_element is square:
DiffusionOperator = cg.DiffusionOperatorQ1
AdvectionOperator = cg.AdvectionOperatorQ1
ReactionOperator = cg.L2ProductQ1
Functional = cg.L2ProductFunctionalQ1
else:
DiffusionOperator = cg.DiffusionOperatorP1
AdvectionOperator = cg.AdvectionOperatorP1
ReactionOperator = cg.L2ProductP1
Functional = cg.L2ProductFunctionalP1
p = analytical_problem
if p.diffusion_functionals is not None or p.advection_functionals is not None or p.reaction_functionals is not None:
# parametric case
Li = [
DiffusionOperator(grid,
boundary_info,
diffusion_constant=0,
name='boundary_part')
]
coefficients = [1.]
# diffusion part
if p.diffusion_functionals is not None:
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=df,
dirichlet_clear_diag=True,
name='diffusion_{}'.format(i))
for i, df in enumerate(p.diffusion_functions)
]
coefficients += list(p.diffusion_functionals)
elif p.diffusion_functions is not None:
assert len(p.diffusion_functions) == 1
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=p.diffusion_functions[0],
dirichlet_clear_diag=True,
name='diffusion')
]
coefficients.append(1.)
# advection part
if p.advection_functionals is not None:
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=af,
dirichlet_clear_diag=True,
name='advection_{}'.format(i))
for i, af in enumerate(p.advection_functions)
]
coefficients += list(p.advection_functionals)
elif p.advection_functions is not None:
assert len(p.advection_functions) == 1
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=p.advection_functions[0],
dirichlet_clear_diag=True,
name='advection')
]
coefficients.append(1.)
# reaction part
if p.reaction_functionals is not None:
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=rf,
dirichlet_clear_diag=True,
name='reaction_{}'.format(i))
for i, rf in enumerate(p.reaction_functions)
]
coefficients += list(p.reaction_functionals)
elif p.reaction_functions is not None:
assert len(p.reaction_functions) == 1
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=p.reaction_functions[0],
dirichlet_clear_diag=True,
name='reaction')
]
coefficients.append(1.)
# robin boundaries
if p.robin_data is not None:
Li += [
cg.RobinBoundaryOperator(grid,
boundary_info,
robin_data=p.robin_data,
order=2,
name='robin')
]
coefficients.append(1.)
L = LincombOperator(operators=Li,
coefficients=coefficients,
name='ellipticOperator')
else:
# unparametric case, not operator for boundary treatment
Li = []
# only one operator has diagonal values, all subsequent operators have clear_diag
dirichlet_clear_diag = False
# diffusion part
if p.diffusion_functions is not None:
assert len(p.diffusion_functions) == 1
Li += [
DiffusionOperator(grid,
boundary_info,
diffusion_function=p.diffusion_functions[0],
dirichlet_clear_diag=dirichlet_clear_diag,
name='diffusion')
]
dirichlet_clear_diag = True
# advection part
if p.advection_functions is not None:
assert len(p.advection_functions) == 1
Li += [
AdvectionOperator(grid,
boundary_info,
advection_function=p.advection_functions[0],
dirichlet_clear_diag=dirichlet_clear_diag,
name='advection')
]
dirichlet_clear_diag = True
# reaction part
if p.reaction_functions is not None:
assert len(p.reaction_functions) == 1
Li += [
ReactionOperator(grid,
boundary_info,
coefficient_function=p.reaction_functions[0],
dirichlet_clear_diag=dirichlet_clear_diag,
name='reaction')
]
dirichlet_clear_diag = True
# robin boundaries
if p.robin_data is not None:
Li += [
cg.RobinBoundaryOperator(grid,
boundary_info,
robin_data=p.robin_data,
order=2,
name='robin')
]
if len(Li) == 1:
L = Li[0]
else:
L = LincombOperator(operators=Li,
coefficients=[1.] * len(Li),
name='ellipticOperator')
F = Functional(grid,
p.rhs,
boundary_info,
dirichlet_data=p.dirichlet_data,
neumann_data=p.neumann_data)
if grid.reference_element in (triangle, square):
visualizer = PatchVisualizer(grid=grid,
bounding_box=grid.bounding_box(),
codim=2)
elif grid.reference_element is line:
visualizer = Matplotlib1DVisualizer(grid=grid, codim=1)
else:
visualizer = None
Prod = cg.L2ProductQ1 if grid.reference_element is square else cg.L2ProductP1
empty_bi = EmptyBoundaryInfo(grid)
l2_product = Prod(grid, empty_bi, name='l2')
l2_0_product = Prod(grid,
boundary_info,
dirichlet_clear_columns=True,
name='l2_0')
h1_semi_product = DiffusionOperator(grid, empty_bi, name='h1_semi')
h1_0_semi_product = DiffusionOperator(grid,
boundary_info,
dirichlet_clear_columns=True,
name='h1_0_semi')
products = {
'h1': l2_product + h1_semi_product,
'h1_semi': h1_semi_product,
'l2': l2_product,
'h1_0': l2_0_product + h1_0_semi_product,
'h1_0_semi': h1_0_semi_product,
'l2_0': l2_0_product
}
parameter_space = p.parameter_space if hasattr(p,
'parameter_space') else None
discretization = StationaryDiscretization(L,
F,
products=products,
visualizer=visualizer,
parameter_space=parameter_space,
name='{}_CG'.format(p.name))
return discretization, {'grid': grid, 'boundary_info': boundary_info}
