📜 Post with us on Reddit
📝 Create a new article
🏭 Create a company page
🇬🇧 - in English
🇫🇷 - en Français (FR)
🇵🇹 - em Português (PT)
🇩🇪 - auf Deutsch (DE)
🇯🇵 - 日本語で (JA)
Sponsored articles

You can edit almost every page by Creating an account and confirming your email.

Operator Discretization Library: Difference between revisions

From EverybodyWiki Bios & Wiki
Newer edit →
VisualWikitext
WikiMasterBot2 (talk | contribs)
Wikeeper, WikiGuardian, Bots, Structured Discussions bots, Readers, Administrators
12,742,744 edits
 
WikiMasterBot2 (talk | contribs)
Wikeeper, WikiGuardian, Bots, Structured Discussions bots, Readers, Administrators
12,742,744 edits
Line 1: Line 1:
{{AFC submission|d|v|u=A ringh|ns=118|decliner=Missvain|declinets=20190828221334|ts=20190523073825}} <!-- Do not remove this line! -->
{{AFC submission|d|nn|u=A ringh|ns=118|decliner=Curb Safe Charmer|declinets=20200209202943|ts=20190930032409}} <!-- Do not remove this line! -->
{{AFC submission|d|v|u=A ringh|ns=118|decliner=Missvain|declinets=20190828221334|small=yes|ts=20190523073825}} <!-- Do not remove this line! -->
 
{{AFC comment|1=I am not convinced that any of the papers cited are ''about'' ODL. I suspect they are merely ''mentions'' of ODL. [[User:Curb Safe Charmer|Curb Safe Charmer]] ([[User talk:Curb Safe Charmer|talk]]) 20:29, 9 February 2020 (UTC)}}
 
----


{{Infobox software
{{Infobox software
Line 15: Line 20:
}}
}}


Operator Discretization Library (ODL) is an [[Open-source software|open source]] toolbox for [[Inverse problem|inverse problems]] written in [[Python (programming language)|python]].
'''Operator Discretization Library''' (ODL) is an [[Open-source software|open source]] toolbox for [[Inverse problem|inverse problems]] written in [[Python (programming language)|python]].
 
The main goal of ODL is to facilitate the use of advanced mathematical tools for real-world problems, without having to implement all necessary parts from the bottom up. The focus of the toolbox is fast prototyping in inverse problems. Its main audience is mathematicians and applied scientists in imaging
<ref name="matej2017"/><ref name="adler2017"/><ref name="ringh2017"/><ref name="chen2018"/><ref name="buurlage2018"/><ref name="zickert2018"/><ref name="marlevi2019"/>.


The main goal of ODL is to facilitate the use of advanced mathematical tools for real-world problems, without having to implement all necessary parts from the bottom up. The focus of the toolbox is fast prototyping in inverse problems. Its main audience is mathematicians and applied scientists in imaging.
<ref name="matej2017"/><ref name="adler2017"/><ref name="ringh2017"/><ref name="chen2018"/><ref name="buurlage2018"/><ref name="zickert2018"/><ref name="marlevi2019"/>{{excessive citations inline|date=February 2020}}


== History ==
== History ==
ODL was initially developed at [[KTH Royal Institute of Technology]] as part of a research project funded by [[Swedish Foundation for Strategic Research]]
ODL was initially developed at [[KTH Royal Institute of Technology]] as part of a research project funded by [[Swedish Foundation for Strategic Research]].<ref name="ssf-webpage"/><ref name="odl-git"/>
<ref name="ssf-webpage"/><ref name="odl-git"/>.
It is currently being developed at <ref name="zenodo"/>
It is currently being developed at <ref name="zenodo"/>


Line 55: Line 58:
<ref name=odl-git>{{cite web |url=https://github.com/odlgroup/odl |title=ODL Github repository |author=<!--Not stated--> |access-date=23 May 2019}}</ref>
<ref name=odl-git>{{cite web |url=https://github.com/odlgroup/odl |title=ODL Github repository |author=<!--Not stated--> |access-date=23 May 2019}}</ref>
}}
}}


==External links==
==External links==
Line 61: Line 63:
* [https://github.com/odlgroup/odl Github repository]
* [https://github.com/odlgroup/odl Github repository]
* [https://doi.org/10.5281/zenodo.1442734 Code published on Zenodo]
* [https://doi.org/10.5281/zenodo.1442734 Code published on Zenodo]
{{AFC submission|||ts=20190930032409|u=A ringh|ns=118}}
{{Source Wikipedia}}
{{Source Wikipedia}}

Revision as of 20:16, 17 February 2020




ODL
Original author(s)Jonas Adler, Holger Kohr and Ozan Öktem
Developer(s)The ODL Development Team
Initial release10 February 2015; 11 years ago (2015-02-10)
Written inPython
Engine
    Operating systemLinux, macOS, Microsoft Windows
    TypeMathematical software
    LicenseMozilla Public License 2.0
    Websitegithub.com/odlgroup/odl

    Search Operator Discretization Library on Amazon.

    Operator Discretization Library (ODL) is an open source toolbox for inverse problems written in python.

    The main goal of ODL is to facilitate the use of advanced mathematical tools for real-world problems, without having to implement all necessary parts from the bottom up. The focus of the toolbox is fast prototyping in inverse problems. Its main audience is mathematicians and applied scientists in imaging. [1][2][3][4][5][6][7][excessive citations]

    History

    ODL was initially developed at KTH Royal Institute of Technology as part of a research project funded by Swedish Foundation for Strategic Research.[8][9] It is currently being developed at [10]

    References

    1. ↑ Matěj, Zdeněk; Mokso, Rajmund; Larsson, Krister; Hardion, Vincent; Spruce, Darren (2017). "The MAX IV imaging concept". Advanced structural and chemical imaging. 2 (1). doi:10.1186/s40679-016-0029-7.
    2. ↑ Adler, Jonas; Öktem, Ozan (2017). "Solving ill-posed inverse problems using iterative deep neural networks". Inverse Problems. 33 (12). doi:10.1088/1361-6420/aa9581.
    3. ↑ Ringh, Axel; Zhuge, Xiaodong; Palenstijn, Willem Jan; Batenburg, Kees Joost; Öktem, Ozan (2017). "High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm". In Kropatsch, Walter G.; Artner, Nicole M.; Janusch, Ines. Discrete Geometry for Computer Imagery. Springer, Cham. pp. 109–121. doi:10.1007/978-3-319-66272-5_10. ISBN 978-3-319-66272-5. Search this book on
    4. ↑ Chen, Chong; Öktem, Ozan (2018). "Indirect image registration with large diffeomorphic deformations". SIAM Journal on Imaging Sciences. 11 (1): 575–617. doi:10.1137/17M1134627.
    5. ↑ Buurlage, Jan-Willem; Kohr, Holger; Palenstijn, Willem Jan; Batenburg, Kees Joost (2018). "Real-time quasi-3D tomographic reconstruction". Measurement Science and Technology. 29 (6). doi:10.1088/1361-6501/aab754.
    6. ↑ Zickert, Gustav; Maretzke, Simon (2018). "Cryogenic electron tomography reconstructions from phaseless data". Inverse Problems. 34 (12). doi:10.1088/1361-6420/aade22.
    7. ↑ Marlevi, David (2019). Non-invasive imaging for improved cardiovascular diagnostics (PhD). KTH Royal Institute of Technology.
    8. ↑ "Lågkomplexitetsrekonstruktionsmetoder för medicin". Retrieved 20 September 2019.
    9. ↑ "ODL Github repository". Retrieved 23 May 2019.
    10. ↑ Adler, Jonas; Kohr, Holger; et al. (9 September 2018). "odlgroup/odl: ODL 0.7.0". doi:10.5281/zenodo.1442734. Retrieved 20 September 2019.

    External links


    This article "Operator Discretization Library" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Operator Discretization Library. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.


    Retrieved from "https://en.everybodywiki.com/index.php?title=Operator_Discretization_Library&oldid=626690"
    License CC BY-SA 3.0
    Powered by MediaWiki