This paper provides necessary and sufficient optimality conditions for abstract-constrained
mathematical programming problems in locally convex spaces under new qualification …

This paper conducts sensitivity analysis of random constraint and variational systems related
to stochastic optimization and variational inequalities. We establish efficient conditions for …

This paper is devoted to the study of the expected-integral multifunctions given in the form
E_Φ(x):=\int_T\Phi_t(x)dμ, where Φ:T*\X → → \;\Y is a set-valued mapping on a measure …

In this paper, we study integral functionals defined on spaces of functions with values on
general (non-separable) Banach spaces. We introduce a new class of integrands and …

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Under mild assumptions, we prove that any random multifunction can be represented as the
set of minimizers of an infinitely many differentiable normal integrand, which preserves the …