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JGO
2008

Smoothing by mollifiers. Part II: nonlinear optimization

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Smoothing by mollifiers. Part II: nonlinear optimization
This article complements the paper [7], where we showed that a compact feasible set of a standard semi-infinite optimization problem can be approximated arbitrarily well by a level set of a single smooth function with certain regularity properties. In the special case of nonlinear programming this function is constructed as the mollification of the finite min-function which describes the feasible set. In the present article we treat the correspondences between KarushKuhn-Tucker points of the original and the smoothed problem, and between their associated Morse indices.
Hubertus Th. Jongen, Oliver Stein
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JGO
Authors Hubertus Th. Jongen, Oliver Stein
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