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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia:	Chuangchuang Sun
Formatua:	Artikulua
Hizkuntza:	English
Argitaratua:	MDPI AG 2023-10-01
Saila:	Mathematics
Gaiak:	semidefinite optimization symmetric matrix factorization nonconvex optimization large-scale graph problems
Sarrera elektronikoa:	https://www.mdpi.com/2227-7390/11/21/4413

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