code stringlengths 3 6.57k |
|---|
plt.colorbar() |
plt.savefig(imagesavefilenamedif_1) |
plt.figure(figsize=(14, 7) |
plt.imshow(dif_freesurfer_moved) |
plt.title('freesurfer_moved') |
plt.colorbar() |
plt.savefig(imagesavefilenamedif_2) |
moved.detach() |
cpu() |
numpy() |
squeeze() |
vxm.py.utils.save_volfile(moved, args.moved, fixed_affine) |
warp.detach() |
cpu() |
numpy() |
squeeze() |
vxm.py.utils.save_volfile(warp, args.warp, fixed_affine) |
project (https://www.pymor.org) |
License (https://opensource.org/licenses/BSD-2-Clause) |
ResidualReductor(BasicObject) |
residual.apply(U, mu) |
operator.apply(U, mu) |
rhs.as_range_array(mu) |
residual.apply(U, mu) |
product.apply_inverse(operator.apply(U, mu) |
rhs.as_range_array(mu) |
project(residual, range_basis=residual_range, source_basis=RB) |
the (dual) |
projected_residual.apply(u, mu) |
norm() |
residual_reductor.reconstruct(projected_residual.apply(u, mu) |
residual.apply(RB.lincomb(u) |
__init__(self, RB, operator, rhs=None, product=None, riesz_representatives=False) |
or (rhs.source.is_scalar and rhs.range == operator.range and rhs.linear) |
self.__auto_init(locals() |
operator.range.empty() |
reduce(self) |
self.logger.block('Estimating residual range ...') |
self.logger.warning(f'Cannot compute range of {e.op}. Evaluation will be slow.') |
project(self.operator, None, self.RB) |
NonProjectedResidualOperator(operator, self.rhs, self.riesz_representatives, self.product) |
self.logger.block('Projecting residual operator ...') |
project(self.operator, self.residual_range, self.RB, product=None) |
project(self.rhs, self.residual_range, None, product=None) |
project(self.operator, self.residual_range, self.RB, product=self.product) |
project(self.rhs, self.residual_range, None, product=self.product) |
ResidualOperator(operator, rhs) |
reconstruct(self, u) |
u.norm() |
u.norm(self.product) |
lincomb(u.to_numpy() |
ResidualOperator(Operator) |
__init__(self, operator, rhs, name=None) |
self.__auto_init(locals() |
rhs.as_range_array() |
apply(self, U, mu=None) |
self.operator.apply(U, mu=mu) |
self.rhs.as_range_array(mu) |
len(V) |
len(V) |
projected_to_subbasis(self, dim_range=None, dim_source=None, name=None) |
ResidualOperator(project_to_subbasis(self.operator, dim_range, dim_source) |
project_to_subbasis(self.rhs, dim_range, None) |
NonProjectedResidualOperator(ResidualOperator) |
__init__(self, operator, rhs, riesz_representatives, product) |
super() |
__init__(operator, rhs) |
self.__auto_init(locals() |
apply(self, U, mu=None) |
super() |
apply(U, mu=mu) |
self.product.apply_inverse(R) |
R_riesz.norm() |
np.nan_to_num(inversel2) |
R_riesz.scal(np.sqrt(R_riesz.pairwise_inner(R) |
R.norm() |
np.nan_to_num(inversel2) |
R.scal(np.sqrt(self.product.pairwise_apply2(R, R) |
projected_to_subbasis(self, dim_range=None, dim_source=None, name=None) |
self.with_(operator=project_to_subbasis(self.operator, None, dim_source) |
ImplicitEulerResidualReductor(BasicObject) |
riesz_residual.apply(U, U_old, mu) |
product.apply_inverse(operator.apply(U, mu) |
mass.apply(U, mu) |
mass.apply(U_old, mu) |
rhs.as_vector(mu) |
riesz_residual.projected(range_basis=residual_range, source_basis=RB) |
projected_riesz_residual.apply(u, u_old, mu) |
norm() |
residual_reductor.reconstruct(projected_riesz_residual.apply(u, u_old, mu) |
riesz_residual.apply(RB.lincomb(u) |
RB.lincomb(u_old) |
__init__(self, RB, operator, mass, dt, rhs=None, product=None) |
self.__auto_init(locals() |
operator.range.empty() |
reduce(self) |
self.logger.block('Estimating residual range ...') |
self.logger.warning(f'Cannot compute range of {e.op}. Evaluation will be slow.') |
project(self.operator, None, self.RB) |
project(self.mass, None, self.RB) |
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