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zbMATH Open
Article . 1996
Data sources: zbMATH Open
SIAM Journal on Optimization
Article . 1996 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1996
Data sources: DBLP
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Dini Derivatives of the Marginal Function of a Non-Lipschitzian Program

Dini derivatives of the marginal function of a non-Lipschitzian program
Authors: D. E. Ward;

Dini Derivatives of the Marginal Function of a Non-Lipschitzian Program

Abstract

Summary: Upper and lower bounds are establised for the Dini directional derivatives of the marginal function of a parametric mathematical program. In this program, the equality constraint functions are assumed to be strictly differentiable, but the objective and inequality constraint functions can belong to a large class of non-Lipschitzian functions. A nonsmooth version of the Mangasarian-Fromovitz constraint qualification is also assumed. The main tool in the proofs of these bounds is the calculus of tangent cones.

Keywords

Dini directional derivatives, upper and lower bounds, Nonsmooth analysis, subdifferential, differential stability, Nonlinear programming, Sensitivity, stability, parametric optimization, tangent cones, marginal function, parametric mathematical program

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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