New semidefinite programming relaxations for box constrained quadratic program

  • Yong Xia*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)877-886
Number of pages10
JournalScience China Mathematics
Volume56
Issue number4
DOIs
StatePublished - Apr 2013

Keywords

  • D.C. optimization
  • Lagrangian dual
  • box constrained quadratic program
  • lower bound
  • semidefinite programming
  • zonotope

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