Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition
Gespeichert in:
| Veröffentlicht in: | SIAM journal on scientific computing 2017-01, Vol.39 (2), p.B403-B423 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | B423 |
|---|---|
| container_issue | 2 |
| container_start_page | B403 |
| container_title | SIAM journal on scientific computing |
| container_volume | 39 |
| creator | Lee, Chang-Ock Nam, Changmin |
| description | |
| doi_str_mv | 10.1137/15M1049919 |
| format | Article |
| fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1137_15M1049919</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1137_15M1049919</sourcerecordid><originalsourceid>FETCH-LOGICAL-c161t-8c05c9307f82b3710214ab25435ea58904c410172230b40c8aa12a4f4319b6253</originalsourceid><addsrcrecordid>eNpNkEtPwzAQhC0EEqVw4Rf4jDDs-hHHR2h4Sa3gULhGjuuoRk1c2eEAv56GIsFpZ2dWn7RDyDnCFaLQ16gWCNIYNAdkgmAU02j04agLyUqu1TE5yfkdAAtp-IT4lxQ6u6FV7GzoaeVd7LYxhyHEni78sI6rTNuY6LD2dBmH3embTcHu89CHLnz9LJf01ma_oju7-hiB_0mn5Ki1m-zPfueUvN7fLWePbP788DS7mTOHBQ6sdKCcEaDbkjdCI3CUtuFKCuWtKg1IJxFQcy6gkeBKa5Fb2UqBpim4ElNysee6FHNOvq2343vps0aox4Lqv4LENwtkV1E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition</title><source>SIAM Journals Online</source><creator>Lee, Chang-Ock ; Nam, Changmin</creator><creatorcontrib>Lee, Chang-Ock ; Nam, Changmin</creatorcontrib><identifier>ISSN: 1064-8275</identifier><identifier>EISSN: 1095-7197</identifier><identifier>DOI: 10.1137/15M1049919</identifier><language>eng</language><ispartof>SIAM journal on scientific computing, 2017-01, Vol.39 (2), p.B403-B423</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c161t-8c05c9307f82b3710214ab25435ea58904c410172230b40c8aa12a4f4319b6253</citedby><cites>FETCH-LOGICAL-c161t-8c05c9307f82b3710214ab25435ea58904c410172230b40c8aa12a4f4319b6253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,3171,27905,27906</link.rule.ids></links><search><creatorcontrib>Lee, Chang-Ock</creatorcontrib><creatorcontrib>Nam, Changmin</creatorcontrib><title>Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition</title><title>SIAM journal on scientific computing</title><issn>1064-8275</issn><issn>1095-7197</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpNkEtPwzAQhC0EEqVw4Rf4jDDs-hHHR2h4Sa3gULhGjuuoRk1c2eEAv56GIsFpZ2dWn7RDyDnCFaLQ16gWCNIYNAdkgmAU02j04agLyUqu1TE5yfkdAAtp-IT4lxQ6u6FV7GzoaeVd7LYxhyHEni78sI6rTNuY6LD2dBmH3embTcHu89CHLnz9LJf01ma_oju7-hiB_0mn5Ki1m-zPfueUvN7fLWePbP788DS7mTOHBQ6sdKCcEaDbkjdCI3CUtuFKCuWtKg1IJxFQcy6gkeBKa5Fb2UqBpim4ElNysee6FHNOvq2343vps0aox4Lqv4LENwtkV1E</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Lee, Chang-Ock</creator><creator>Nam, Changmin</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201701</creationdate><title>Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition</title><author>Lee, Chang-Ock ; Nam, Changmin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c161t-8c05c9307f82b3710214ab25435ea58904c410172230b40c8aa12a4f4319b6253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Chang-Ock</creatorcontrib><creatorcontrib>Nam, Changmin</creatorcontrib><collection>CrossRef</collection><jtitle>SIAM journal on scientific computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Chang-Ock</au><au>Nam, Changmin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition</atitle><jtitle>SIAM journal on scientific computing</jtitle><date>2017-01</date><risdate>2017</risdate><volume>39</volume><issue>2</issue><spage>B403</spage><epage>B423</epage><pages>B403-B423</pages><issn>1064-8275</issn><eissn>1095-7197</eissn><doi>10.1137/15M1049919</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1064-8275 |
| ispartof | SIAM journal on scientific computing, 2017-01, Vol.39 (2), p.B403-B423 |
| issn | 1064-8275 1095-7197 |
| language | eng |
| recordid | cdi_crossref_primary_10_1137_15M1049919 |
| source | SIAM Journals Online |
| title | Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T19%3A26%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Primal%20Domain%20Decomposition%20Methods%20for%20the%20Total%20Variation%20Minimization,%20Based%20on%20Dual%20Decomposition&rft.jtitle=SIAM%20journal%20on%20scientific%20computing&rft.au=Lee,%20Chang-Ock&rft.date=2017-01&rft.volume=39&rft.issue=2&rft.spage=B403&rft.epage=B423&rft.pages=B403-B423&rft.issn=1064-8275&rft.eissn=1095-7197&rft_id=info:doi/10.1137/15M1049919&rft_dat=%3Ccrossref%3E10_1137_15M1049919%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |