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...
| Autor principal: | |
|---|---|
| Format: | Article |
| Idioma: | English |
| Publicat: |
MDPI AG
2023-10-01
|
| Col·lecció: | Mathematics |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2227-7390/11/21/4413 |