Local saddle point and a class of convexification methods for nonconvex optimization problems

Tao Li, Yanjun Wang, Zhian Liang, Panos M. Pardalos

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

A class of general transformation methods are proposed to convert a nonconvex optimization problem to another equivalent problem. It is shown that under certain assumptions the existence of a local saddle point or local convexity of the Lagrangian function of the equivalent problem (EP) can be guaranteed. Numerical experiments are given to demonstrate the main results geometrically.

Original languageEnglish
Pages (from-to)405-419
Number of pages15
JournalJournal of Global Optimization
Volume38
Issue number3
DOIs
Publication statusPublished - Jul 2007
Externally publishedYes

Keywords

  • Convexification
  • Local convexity
  • Local saddle point
  • Nonconvex optimization

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