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.
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© 2014 Springer International Publishing Switzerland
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Bagirov, A., Karmitsa, N., Mäkelä, M.M. (2014). Academic Problems. In: Introduction to Nonsmooth Optimization. Springer, Cham. https://doi.org/10.1007/978-3-319-08114-4_9
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DOI: https://doi.org/10.1007/978-3-319-08114-4_9
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08113-7
Online ISBN: 978-3-319-08114-4
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