ISSN:
1436-4646
Keywords:
Stochastic programming
;
sensitivity analysis
;
directional derivatives
;
von Mises statistical functionals
;
asymptotic distribution
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract In this paper optimal solutions of a stochastic programming problem are considered as functions of the underlying probability distribution. Their directional derivatives, in the sense of Gâteaux, are calculated by applying some recent results from the sensitivity analysis of nonlinear programs. These derivatives are employed as a heuristic device in order to derive the asymptotic distribution of statistical estimators of the optimal solutions.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01580855