Titelaufnahme

Titel
Karush Kuhn Tucker conditions for non-smooth mathematical programming in function spaces
VerfasserIto, Kazufumi In der Gemeinsamen Normdatei der DNB nachschlagen ; Kunisch, Karl In der Gemeinsamen Normdatei der DNB nachschlagen
Erschienen in
SIAM journal on control and optimization / Society for Industrial and Applied Mathematics, Philadelphia, Pa. : Soc., 1.1962 -, Jg. 49, H. 5, S. 2133-2154
ErschienenSIAM
SpracheDeutsch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)KKT conditions / nonsmooth optimization / necessary optimality
ISSN1095-7138
URNurn:nbn:at:at-ubg:3-214 Persistent Identifier (URN)
Zugriffsbeschränkung
 Das Werk ist frei verfügbar
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Karush Kuhn Tucker conditions for non-smooth mathematical programming in function spaces [0.26 mb]
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Zusammenfassung (Englisch)

Lagrange multiplier rules for abstract optimization problems with mixed smooth and convex terms in the cost, with smooth equality constrained and convex inequality constraints, are presented. The typical case for the equality constraints that the theory is meant for is given by differential equations. Applications are given to L1-minimum norm control problems, L-norm minimization, and a class of optimal control problems with distributed state constraints and nonsmooth cost.

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