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Generalized weak sharp minima in cone-constrained convex optimization with applications

Author

Listed:
  • H. Luo
  • X. Huang

    ()

  • J. Peng

Abstract

In this paper, we consider convex optimization problems with cone constraints (CPC in short). We study generalized weak sharp minima properties for (CPC) in the Banach space and Hilbert space settings, respectively. Some criteria and characterizations for the solution set to be a set of generalized weak sharp minima for (CPC) are derived. As an application, we propose an algorithm for (CPC) in the Hilbert space setting. Convergence analysis of this algorithm is given. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • H. Luo & X. Huang & J. Peng, 2012. "Generalized weak sharp minima in cone-constrained convex optimization with applications," Computational Optimization and Applications, Springer, vol. 53(3), pages 807-821, December.
  • Handle: RePEc:spr:coopap:v:53:y:2012:i:3:p:807-821
    DOI: 10.1007/s10589-012-9457-z
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