Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/5881
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | - |
dc.creator | Qi, L | - |
dc.creator | Zhou, G | - |
dc.date.accessioned | 2014-12-11T08:24:22Z | - |
dc.date.available | 2014-12-11T08:24:22Z | - |
dc.identifier.issn | 1052-6234 | - |
dc.identifier.uri | http://hdl.handle.net/10397/5881 | - |
dc.language.iso | en | en_US |
dc.publisher | Society for Industrial and Applied Mathematics | en_US |
dc.rights | © 2000 Society for Industrial and Applied Mathematics | en_US |
dc.subject | Sum of norms | en_US |
dc.subject | Smoothing Newton method | en_US |
dc.subject | Semismoothness | en_US |
dc.subject | Euclidean facilities location | en_US |
dc.subject | Shortest networks | en_US |
dc.subject | Steiner minimum trees | en_US |
dc.title | A smoothing Newton method for minimizing a sum of Euclidean norms | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 389 | - |
dc.identifier.epage | 410 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 2 | - |
dc.identifier.doi | 10.1137/S105262349834895X | - |
dcterms.abstract | (See Article file for details of the abstract.) | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | SIAM journal on optimization, 2000, v. 11, no. 2, p. 389-410 | - |
dcterms.isPartOf | SIAM Journal on optimization | - |
dcterms.issued | 2000 | - |
dc.identifier.isi | WOS:000165317100007 | - |
dc.identifier.scopus | 2-s2.0-0034353738 | - |
dc.identifier.eissn | 1095-7189 | - |
dc.identifier.rosgroupid | r02776 | - |
dc.description.ros | 2000-2001 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Qi_Smoothing_Newton_Method.pdf | 232.71 kB | Adobe PDF | View/Open |
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