Generalized Sequential Differential Calculus for Expected-Integral Functionals

Motivated by applications to stochastic programming, we introduce and study the expected-integral functionals, which are mappings given in an integral form depending on two variables, first a finite dimensional decision vector second one integrable function. The main goal of this paper is establish sequential versions Leibniz’s rule for regular subgradients employing developing appropriate tools variational analysis.