Double well potential function and its optimization in the n-dimensional real space - Part II

Yong Xla, Ruey Lin Sheu, Shu Cherng Fang, Wenxun Xing

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In contrast to taking the dual approach for finding a global min imum solution of a double well potential function, in Part II of the paper, we characterize the local minimizer, local maximizer, and global minimizer di rectly from the primal side. It is proven that, for a "nonsingular" double well function, there exists at most one local, but non-global, minimizer and at most one local maximizer. Moreover, the local maximizer is "surrounded" by local minimizers in the sense that the norm of the local maximizer is strictly less than that of any local minimizer. We also establish necessary and sufficient optimality conditions for the global minimizer, local non-global minimizer and local maximizer by studying a convex secular function over specific intervals. These conditions lead to three algorithms for identifying different types of crit ical points of a given double well function.

Original languageEnglish
Pages (from-to)1307-1328
Number of pages22
JournalJournal of Industrial and Management Optimization
Volume13
Issue number3
DOIs
Publication statusPublished - 2017 Jul 1

Fingerprint

Double-well Potential
Potential Function
n-dimensional
Local Minimizer
Optimization
Global Minimizer
Minimizer
Necessary and Sufficient Optimality Conditions
Potential function
Strictly
Norm
Interval

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Strategy and Management
  • Control and Optimization
  • Applied Mathematics

Cite this

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Double well potential function and its optimization in the n-dimensional real space - Part II. / Xla, Yong; Sheu, Ruey Lin; Fang, Shu Cherng; Xing, Wenxun.

In: Journal of Industrial and Management Optimization, Vol. 13, No. 3, 01.07.2017, p. 1307-1328.

Research output: Contribution to journalArticle

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