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Perturbation of Generalized Kuhn-Tucker Points in Finite-Dimensional Optimization

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Nonsmooth Optimization and Related Topics

Part of the book series: Ettore Majorana International Science Series ((EMISS,volume 43))

Abstract

A very large and versatile class of optimization problems can be posed in the form

$$\min imizef\left( x \right) + h\left( {F\left( x \right)} \right)overallx \in X$$
(P)

, where X is a nonempty polyhedral (convex) set in ℝn, the mappings f : ℝn → ℝ and F : ℝn → ℝm are of class C 2, and the function h : ℝm → ℝ is convex and possibly extended-real-valued, specifically of the form

$$h\left( u \right) = \sup \left\{ {yu - g\left( y \right)} \right\} = \left( {d + \delta Y} \right)*\left( u \right)$$
(1.1)

for a nonempty polyhedral (convex) set Y ⊂ ℝm and a convex function g : ℝm → ℝ of class C 2.

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References

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© 1989 Springer Science+Business Media New York

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Rockafellar, R.T. (1989). Perturbation of Generalized Kuhn-Tucker Points in Finite-Dimensional Optimization. In: Clarke, F.H., Dem’yanov, V.F., Giannessi, F. (eds) Nonsmooth Optimization and Related Topics. Ettore Majorana International Science Series, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6019-4_22

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  • DOI: https://doi.org/10.1007/978-1-4757-6019-4_22

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-6021-7

  • Online ISBN: 978-1-4757-6019-4

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