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...
מחבר ראשי: | Chuangchuang Sun |
---|---|
פורמט: | Article |
שפה: | English |
יצא לאור: |
MDPI AG
2023-10-01
|
סדרה: | Mathematics |
נושאים: | |
גישה מקוונת: | https://www.mdpi.com/2227-7390/11/21/4413 |
פריטים דומים
-
An ADMM-based SQP method for separably smooth nonconvex optimization
מאת: Meixing Liu, et al.
יצא לאור: (2020-03-01) -
Subsampling algorithms for semidefinite programming
מאת: Alexandre W. d'Aspremont
יצא לאור: (2011-01-01) -
Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis
מאת: Qinghua Liu, et al.
יצא לאור: (2019-01-01) -
Nonconvex matrix completion with Nesterov’s acceleration
מאת: Xiao-Bo Jin, et al.
יצא לאור: (2018-12-01) -
Bounds on Linear PDEs via Semidefinite Optimization
מאת: Bertsimas, Dimitris J., et al.
יצא לאור: (2003)