Commit a9e09f6b authored by Jochen Schulz's avatar Jochen Schulz
Browse files

fix links and video

parent bcc108ba
......@@ -14,6 +14,9 @@ http://vaopt.math.uni-goettingen.de/en/publications.php.
This site is maintained by the Working Group in Variational Analysis of the
Institute for Numerical and Applied Mathematics at the University of Göttingen.
![JWST](https://num.math.uni-goettingen.de/proxtoolbox/media/JWST.mp4)
<div>
<center>
<video width="320" height="240" controls>
<source src="https://num.math.uni-goettingen.de/proxtoolbox/media/JWST.mp4" type="video/mp4">
......@@ -24,44 +27,29 @@ Institute for Numerical and Applied Mathematics at the University of Göttingen.
<p>Video: Representative iterate of a noisy JWST test wavefront recovered with the
Douglas-Rachford algorithm.</p>
</center>
</div>
## Python version
Current
**1.0.3**: [Source](https://gitlab.gwdg.de/nam/ProxPython/-/archive/1.0.2/ProxPython-1.0.2.tar.gz)
`Documentation <https://num.math.uni-goettingen.de/proxtoolbox/versions/0.2>`__
The documentation includes a tutorial.
### Older versions
- 0.1 (`Source <https://num.math.uni-goettingen.de/proxtoolbox/tarballs/0.1/proxpython-0.1.tar.gz>`__,
`Documentation <https://num.math.uni-goettingen.de/proxtoolbox/versions/0.1>`__)
## Matlab version (3.0, August 2017)
`Source <http://vaopt.math.uni-goettingen.de/en/software/ProxMatlab-Release3.0.tar.gz>`__
For help with the Matlab version, see the :code:`README` file in the ProxMatlab
source.
- **0.2**: [Source](), [Documentation](https://num.math.uni-goettingen.de/proxtoolbox/versions/0.2)
- **0.1**[Source](https://num.math.uni-goettingen.de/proxtoolbox/tarballs/0.1/proxpython-0.1.tar.gz),[Documentation](https://num.math.uni-goettingen.de/proxtoolbox/versions/0.1)
## Demos Accompanying Publications:
- Cone and Sphere benchmark (`Source <http://vaopt.math.uni-goettingen.de/en/software/ProxMatlab-Cone_and_Sphere.tar.gz>`__):
The demos are in the subfolder Cone_and_Sphere. These are the codes generating the benchmarks in the article
`Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons <https://epubs.siam.org/doi/abs/10.1137/18M1193025>`__
by D.R. Luke, S. Sabach and M. Teboulle, SIAM J. Mathematics of Data Science, 1(3), 408-445 (2019).
## Matlab version
[3.0](https://vaopt.math.uni-goettingen.de/en/software/ProxMatlab-Release3.0.tar.gz)
- Nanoscale Photonic Imaging demos (`Source <http://vaopt.math.uni-goettingen.de/en/software/ProxMatlab-Cone_and_Sphere.tar.gz>`__):
The demos are in the subfolder Nanosclae_Photonic_Imaging. These are the codes accompanying the tutorial chapter by D. R. Luke
'Proximal Methods for Image Processing' pp. 165-202 (2020).
In T. Salditt, A. Egner and D.R. Luke (eds) `Nanoscale Photonic Imaging <https://link.springer.com/book/10.1007/978-3-030-34413-9>`__.
Topics in Applied Physics, vol 134. Springer, Cham.
For help with the Matlab version, see the :code:`README` file in the ProxMatlab source.
Additional binary data
## Additional binary data
* [Phase (28mb)](https://vaopt.math.uni-goettingen.de/data/Phase.tar.gz)
* [Ptychography (417mb)](https://vaopt.math.uni-goettingen.de/data/Ptychography.tar.gz)
......@@ -224,3 +212,17 @@ type
``` bash
python3 demo_name
```
### Demos Accompanying Publications:
- [Cone and Sphere benchmark](https://vaopt.math.uni-goettingen.de/en/software/ProxMatlab-Cone_and_Sphere.tar.gz):
The demos are in the subfolder Cone_and_Sphere. These are the codes generating the benchmarks in the article
[Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons](https://epubs.siam.org/doi/abs/10.1137/18M1193025)
by D.R. Luke, S. Sabach and M. Teboulle, SIAM J. Mathematics of Data Science, 1(3), 408-445 (2019).
- [Nanoscale Photonic Imaging demos](https://vaopt.math.uni-goettingen.de/en/software/ProxMatlab-Cone_and_Sphere.tar.gz):
The demos are in the subfolder Nanosclae_Photonic_Imaging. These are the codes accompanying the tutorial chapter by D. R. Luke
'Proximal Methods for Image Processing' pp. 165-202 (2020).
In T. Salditt, A. Egner and D.R. Luke (eds) [Nanoscale Photonic Imaging](https://link.springer.com/book/10.1007/978-3-030-34413-9).
Topics in Applied Physics, vol 134. Springer, Cham.
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