Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
N
NIFTy
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Container registry
Model registry
Monitor
Service Desk
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
ift
NIFTy
Commits
f38bc8e3
Commit
f38bc8e3
authored
6 years ago
by
Lukas Platz
Browse files
Options
Downloads
Patches
Plain Diff
structured_domain: reworded get_fft_smoothing_kernel_function docstring
parent
d8538860
No related branches found
No related tags found
No related merge requests found
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
nifty5/domains/structured_domain.py
+5
-5
5 additions, 5 deletions
nifty5/domains/structured_domain.py
with
5 additions
and
5 deletions
nifty5/domains/structured_domain.py
+
5
−
5
View file @
f38bc8e3
...
@@ -87,11 +87,11 @@ class StructuredDomain(Domain):
...
@@ -87,11 +87,11 @@ class StructuredDomain(Domain):
def
get_fft_smoothing_kernel_function
(
self
,
sigma
):
def
get_fft_smoothing_kernel_function
(
self
,
sigma
):
"""
Helper for Gaussian smoothing.
"""
Helper for Gaussian smoothing.
This method, which is only implemented for harmonic domains, helps
This method, which is only implemented for harmonic domains, helps
to
smooth
ing
fields that are defined on a domain that has this domain as
smooth
e
fields that are defined on a domain that has this domain as
its harmonic partner. The returned function
multiplies field values of
its harmonic partner. The returned function
does a pointwise evaluation
a field with
a zero
centered Gaussian which corresponds to a
of
a zero
-
centered Gaussian
on the field values,
which corresponds to a
convolution with a Gaussian kernel
and
sigma standard deviation in
convolution with a Gaussian kernel
with
sigma standard deviation in
position space.
position space.
Parameters
Parameters
...
...
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment