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Numerical Comparison of NSO Softwares

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 compare implementations of different nonsmooth optimization methods for solving unconstrained optimization problems. We test and compare different bundle methods and subgradient methods, as well as some methods that may be considered as a hybrid of these two and/or others, and two discrete gradient methods. All the tested methods have been described in the previous chapters. A broad set of nonsmooth optimization test problems is used for the testing purpose. The aim of this chapter is not to foreground one particular method over the others, but to obtain some insight on which method is suitable for certain types of problems.

Suggested Citation

  • Adil Bagirov & Napsu Karmitsa & Marko M. Mäkelä, 2014. "Numerical Comparison of NSO Softwares," Springer Books, in: Introduction to Nonsmooth Optimization, edition 127, chapter 0, pages 339-356, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08114-4_17
    DOI: 10.1007/978-3-319-08114-4_17
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