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Academic Problems

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

Many practical optimization problems involve nonsmooth functions. In this chapter, we give an extensive collection of problems for nonsmooth minimization which can be and have been used to test the nonsmooth optimization software. We use a classification of test problems such that it is easy to pick up those problems that share features in interest. That is, for instance, convexity or nonconvexity, or min-max, piecewise quadratic or general polynomial objective function structure, etc.

Suggested Citation

  • Adil Bagirov & Napsu Karmitsa & Marko M. Mäkelä, 2014. "Academic Problems," Springer Books, in: Introduction to Nonsmooth Optimization, edition 127, chapter 0, pages 247-285, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08114-4_9
    DOI: 10.1007/978-3-319-08114-4_9
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