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Hybrid Methods

In: Introduction to Nonsmooth Optimization

Author

Listed:
  • Adil Bagirov

    (School of Information Technology and Mathematical Sciences, University of Ballarat)

  • Napsu Karmitsa

    (University of Turku)

  • Marko M. Mäkelä

    (University of Turku)

Abstract

In this chapter, we describe some methods that can be considered as hybrids of the classical nonsmooth optimization methods described before. The methods to be introduced are the variable metric bundle method and the quasi-secant method for solving general small- and medium-scale nonsmooth optimization problems; the modification of variable metric bundle method for solving large-scale nonsmooth optimization problems, that is, the limited memory bundle method; and the non-Euclidean restricted memory level method for extremely large-scale convex nonsmooth optimization problems.

Suggested Citation

  • Adil Bagirov & Napsu Karmitsa & Marko M. Mäkelä, 2014. "Hybrid Methods," Springer Books, in: Introduction to Nonsmooth Optimization, edition 127, chapter 0, pages 313-325, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08114-4_14
    DOI: 10.1007/978-3-319-08114-4_14
    as

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