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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Dettagli Bibliografici
Autore principale:	Chuangchuang Sun
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2023-10-01
Serie:	Mathematics
Soggetti:	semidefinite optimization symmetric matrix factorization nonconvex optimization large-scale graph problems
Accesso online:	https://www.mdpi.com/2227-7390/11/21/4413

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