An ADMM-based interior-point method for large-scale linear programming.
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| Title: | An ADMM-based interior-point method for large-scale linear programming. |
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| Authors: | Lin, Tianyi1, Ma, Shiqian2, Ye, Yinyu3, Zhang, Shuzhong4,5, zhangs@umn.edu |
| Source: | Optimization Methods & Software; Jun2021, Vol. 36 Issue 2/3, p389-424, 36p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 150210967 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An ADMM-based interior-point method for large-scale linear programming. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lin%2C+Tianyi%22">Lin, Tianyi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ma%2C+Shiqian%22">Ma, Shiqian</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ye%2C+Yinyu%22">Ye, Yinyu</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Shuzhong%22">Zhang, Shuzhong</searchLink><relatesTo>4,5</relatesTo>, <i>zhangs@umn.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Optimization+Methods+%26+Software%22">Optimization Methods & Software</searchLink>; Jun2021, Vol. 36 Issue 2/3, p389-424, 36p |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10556788.2020.1821200 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 36 StartPage: 389 Titles: – TitleFull: An ADMM-based interior-point method for large-scale linear programming. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin, Tianyi – PersonEntity: Name: NameFull: Ma, Shiqian – PersonEntity: Name: NameFull: Ye, Yinyu – PersonEntity: Name: NameFull: Zhang, Shuzhong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 10556788 Numbering: – Type: volume Value: 36 – Type: issue Value: 2/3 Titles: – TitleFull: Optimization Methods & Software Type: main |
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