Full stability of locally optimal solutions in second-order cone programs

Boris S. Mordukhovich, Jiri V. Outrata, M. Ebrahim Sarabi

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

The paper presents complete characterizations of Lipschitzian full stability of locally optimal solutions to second-order cone programs (SOCPs) expressed entirely in terms of their initial data. These characterizations are obtained via appropriate versions of the quadratic growth and strong second-order sufficient conditions under the corresponding constraint qualifications. We also establish close relationships between full stability of local minimizers for SOCPs and strong regularity of the associated generalized equations at nondegenerate points. Our approach is mainly based on advanced tools of second-order variational analysis and generalized differentiation.

Original languageEnglish
Pages (from-to)1581-1613
Number of pages33
JournalSIAM Journal on Optimization
Volume24
Issue number4
DOIs
StatePublished - 2014

Bibliographical note

Publisher Copyright:
Copyright © by SIAM.

Keywords

  • Coderivatives
  • Full stability of local minimizers
  • Nondegeneracy
  • Quadratic growth
  • Second-order cone programming
  • Second-order subdifferentials
  • Strong regularity
  • Variational analysis

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science

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