Abstract
Nonsmooth functions, i.e. functions with discontinuous gradients, arise frequently in the theory and applications of mathematical programming. As far as the theory is concerned, it is now customary to consider basic facts of convex analysis for the whole class of convex functions, including non-smooth ones; the use of subdifferentials has become as common as the use of gradients, especially after the fundamental work of R. T. Rockafellar [70], B. N. Pshenichny [68] and others.
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© 1985 Springer-Verlag Berlin, Heidelberg
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Shor, N.Z. (1985). Introduction. In: Minimization Methods for Non-Differentiable Functions. Springer Series in Computational Mathematics, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82118-9_1
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DOI: https://doi.org/10.1007/978-3-642-82118-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-82120-2
Online ISBN: 978-3-642-82118-9
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