Roxin Zhang
Key words: error bounds, nonlinear error bounds, calmness of set-valued maps,
nonlinear weak sharp minima, upper Lipschitz set-valued maps, subdifferential stationary sets
Mathematices Subject Classification: 49J52, 90C31, 90C25

Abstract:
A functional error bound of a set C is a bound on the distance from a
point to the set involving the function that defines the set C with certain properties. Examples of such sets include the solution set of a functional inequality, the set of all minimizers or the set of stationary points. In this paper, we derive sufficient conditions for the existence of nonlinear functional error bounds for the solution set of an functional inequality and the set of subdifferential stationary points involving a lower semicontinuous function defined on a Banach space. It is also shown that error bound conditions for a functional inequality become necessary if the function is convex. Applying the error bound conditions to the set of all minimizers of the function, we obtain the conditions for the existence of the $\psi$-weak sharp minima.
Nonlinear functional error bounds

Special Issue in Honor of the 70th Birthday of R.Tyrrell Rockafellar
Volume 1, Number 1, January 2005, pp. 219-231
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