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...

Bibliografski detalji
Glavni autor:	Chuangchuang Sun
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2023-10-01
Serija:	Mathematics
Teme:	semidefinite optimization symmetric matrix factorization nonconvex optimization large-scale graph problems
Online pristup:	https://www.mdpi.com/2227-7390/11/21/4413

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