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A stochastic approximation method for convex programming with many semidefinite constraints.

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Title: A stochastic approximation method for convex programming with many semidefinite constraints.
Authors: Li-Ping, Pang1,2, Ming-Kun, Zhang1,2, mkzhang@mail.dlut.edu.cn, Xian-Tao, Xiao1,2
Source: Optimization Methods & Software; Feb2023, Vol. 38 Issue 1, p34-58, 25p
Database: Applied Science & Technology Source
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  Data: A stochastic approximation method for convex programming with many semidefinite constraints.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/10556788.2022.2091563
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 34
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      – TitleFull: A stochastic approximation method for convex programming with many semidefinite constraints.
        Type: main
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            NameFull: Li-Ping, Pang
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            NameFull: Ming-Kun, Zhang
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            NameFull: Xian-Tao, Xiao
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            – D: 01
              M: 02
              Text: Feb2023
              Type: published
              Y: 2023
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              Value: 38
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            – TitleFull: Optimization Methods & Software
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