Abstract
(Equivalent definitions; Closed functions; Continuity of convex functions; Separation theorems; Subgradients; Computation rules; Optimality conditions.)
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Notes
From Example 3.1.2(3) we can see that Δink, is a convex function of h i.}
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© 2004 Springer Science+Business Media New York
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Nesterov, Y. (2004). Nonsmooth Convex Optimization. In: Introductory Lectures on Convex Optimization. Applied Optimization, vol 87. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8853-9_3
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DOI: https://doi.org/10.1007/978-1-4419-8853-9_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4691-3
Online ISBN: 978-1-4419-8853-9
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