A Customized ADMM Approach for Large-Scale Nonconvex Semidefinite Programming
We investigate a class of challenging general semidefinite programming problems with extra nonconvex constraints such as matrix rank constraints. This problem has extensive applications, including combinatorial graph problems, such as MAX-CUT and community detection, reformulated as quadratic object...
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2023-10-01
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| シリーズ: | Mathematics |
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| オンライン･アクセス: | https://www.mdpi.com/2227-7390/11/21/4413 |