def jacobian_determinant(self, o):
if self._preserve_types[o._ufl_typecode_]:
return o
domain = o.ufl_domain()
J = self.jacobian(Jacobian(domain))
detJ = determinant_expr(J)
# TODO: Is "signing" the determinant for manifolds the
# cleanest approach? The alternative is to have a
# specific type for the unsigned pseudo-determinant.
if domain.topological_dimension() < domain.geometric_dimension():
co = CellOrientation(domain)
detJ = co * detJ
return detJ
def facet_jacobian_determinant(self, o):
if self._preserve_types[o._ufl_typecode_]:
return o
domain = o.ufl_domain()
FJ = self.facet_jacobian(FacetJacobian(domain))
detFJ = determinant_expr(FJ)
# TODO: Should we "sign" the facet jacobian determinant for
# manifolds? It's currently used unsigned in
# apply_integral_scaling.
# if domain.topological_dimension() < domain.geometric_dimension():
# co = CellOrientation(domain)
# detFJ = co*detFJ
return detFJ
def facet_jacobian_determinant(self, o):
if self._preserve_types[o._ufl_typecode_]:
return o
domain = o.ufl_domain()
FJ = self.facet_jacobian(FacetJacobian(domain))
detFJ = determinant_expr(FJ)
# TODO: Should we "sign" the facet jacobian determinant for
# manifolds? It's currently used unsigned in
# apply_integral_scaling.
# if domain.topological_dimension() < domain.geometric_dimension():
# co = CellOrientation(domain)
# detFJ = co*detFJ
return detFJ
def jacobian_determinant(self, o):
if self._preserve_types[o._ufl_typecode_]:
return o
domain = o.ufl_domain()
J = self.jacobian(Jacobian(domain))
detJ = determinant_expr(J)
# TODO: Is "signing" the determinant for manifolds the
# cleanest approach? The alternative is to have a
# specific type for the unsigned pseudo-determinant.
if domain.topological_dimension() < domain.geometric_dimension():
co = CellOrientation(domain)
detJ = co*detJ
return detJ
def determinant(self, o, A):
return determinant_expr(A)
def determinant(self, o, A):
return determinant_expr(A)
