Abstract
We establish in this paper optimal parametric Lagrangian dual models for box constrained quadratic program based on the generalized D. C. (difference between convex) optimization approach, which can be reformulated as semidefinite programming problems. As an application, we propose new valid linear constraints for rank-one relaxation.
| Original language | English |
|---|---|
| Pages (from-to) | 877-886 |
| Number of pages | 10 |
| Journal | Science China Mathematics |
| Volume | 56 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2013 |
Keywords
- D.C. optimization
- Lagrangian dual
- box constrained quadratic program
- lower bound
- semidefinite programming
- zonotope
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