A Customized ADMM Approach for Large-Scale Nonconvex Semidefinite Programming

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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Detaylı Bibliyografya
Yazar: Chuangchuang Sun
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2023-10-01
Seri Bilgileri:Mathematics
Konular:
semidefinite optimization
symmetric matrix factorization
nonconvex optimization
large-scale graph problems
Online Erişim:https://www.mdpi.com/2227-7390/11/21/4413

Internet

https://www.mdpi.com/2227-7390/11/21/4413

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