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RestrictedFunctionSpace and LinearSolver #4153

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8 changes: 6 additions & 2 deletions firedrake/linear_solver.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,13 +11,16 @@
class LinearSolver(LinearVariationalSolver):

@PETSc.Log.EventDecorator()
def __init__(self, A, *, P=None, **kwargs):
def __init__(self, A, *, P=None, restrict=False, **kwargs):
"""A linear solver for assembled systems (Ax = b) with constant A.

:arg A: a :class:`~.MatrixBase` (the operator).
:arg P: an optional :class:`~.MatrixBase` to construct any
preconditioner from; if none is supplied ``A`` is
used to construct the preconditioner.
:kwarg restrict: (optional) If `True`, use restricted function spaces,
that exclude Dirichlet boundary condition nodes, internally for
the test and trial spaces.
:kwarg solver_parameters: (optional) dict of solver parameters.
:kwarg nullspace: an optional :class:`~.VectorSpaceBasis` (or
:class:`~.MixedVectorSpaceBasis` spanning the null space
Expand Down Expand Up @@ -50,7 +53,8 @@ def __init__(self, A, *, P=None, **kwargs):

problem = LinearVariationalProblem(A, self.b, self.x, aP=P,
form_compiler_parameters=A.form_compiler_parameters,
constant_jacobian=True)
constant_jacobian=True,
restrict=restrict)
super().__init__(problem, **kwargs)

self.A = A
Expand Down