1042419
doi
10.5281/zenodo.1042419
oai:zenodo.org:1042419
Codes supporting 'Block-proximal methods with spatially adapted acceleration'
Tuomo Valkonen
doi:10.1553/etna_vol51s15
arxiv:arXiv:1609.07373
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
PDHGM
TGV
TV
stochastic
coordinate descent
<p>These are Matlab supporting the manuscript `Block-proximal methods with spatially adapted acceleration', available at <a href="https://arxiv.org/abs/1609.07373">https://arxiv.org/abs/1609.07373</a>, <a href="http://dx.doi.org/10.1553/etna_vol51s15">http://dx.doi.org/10.1553/etna_vol51s15</a> (Electronic Transactions on Numerical Analysis <strong>51</strong> (2019), 15–49).</p>
Zenodo
2017-11-06
info:eu-repo/semantics/other
1042418
20171106
award_title=Efficient computational tools for inverse imaging problems; award_number=EP/M00483X/1; funder_id=001aqnf71; funder_name=UK Research and Innovation;
1610475640.403759
2680648
md5:61786f09e8550f98db9815c9cf7b612f
https://zenodo.org/records/1042419/files/blockcp-zenodo.zip
public
10.1553/etna_vol51s15
Is documented by
doi
arXiv:1609.07373
Is documented by
arxiv
10.5281/zenodo.1042418
isVersionOf
doi
Electronic Transactiosn on Numerical Analysis
15
15-49
2017-11-06