Pedro Pérez Aros ● Profesor Titular

Generalized differentiation of probability functions: the case of parameter dependent sets given by intersections of convex sets and their complements

DOI: http://dx.doi.org/10.1007/s00245-022-09844-5

Control in probability for SDE model of growth population

DOI: http://dx.doi.org/10.1007/s00245-022-09915-7

Generalized Differentiation of Expected-Integral Mappings with Applications to Stochastic Programming, Part~I: Sequential Calculus for Expected-Integral Functionals.

DOI: http://dx.doi.org/10.1007/s11228-021-00590-4

Tikhonov-like regularization of dynamical systems associated with nonexpansive operators defined in closed and convex sets

Determination of convex functions via subgradients of minimal norm

DOI: http://dx.doi.org/10.1007/s10107-020-01550-w

Dynamic probabilistic constraints under continuous random distributions with applications to a hydro-power optimization model

DOI: http://dx.doi.org/10.1007/s10107-020-01593-z

MVT, integration, and monotonicity of a generalized subdifferential in locally convex spaces

On formulae for the Ioffe geometric subdifferential of supremum function

New extremal principles with applications to stochastic and semi-infinite programming

DOI: http://dx.doi.org/10.1007/s10107-020-01548-4

Gradient Formulae for Nonlinear Probabilistic Constraints with Non-convex Quadratic Forms

DOI: http://dx.doi.org/10.1007/s10957-020-01634-9

Subdifferential Calculus Rules for Possibly Nonconvex Integral Functions

DOI: http://dx.doi.org/10.1137/18m1176476

Ergodic Approach to Robust Optimization and Infinite Programming Problems

Necessary and sufficient optimality conditions in DC semi-infinite programming

Qualification Conditions-Free Characterizations of the $\varepsilon$-Subdifferential of Convex Integral Functions

DOI: http://dx.doi.org/10.1007/s00245-019-09604-y

An Enhanced Baillon-Haddad Theorem for Convex Functions Defined on Convex Sets

DOI: http://dx.doi.org/10.1007/s00245-019-09626-6

Weak Compactness of Sublevel Sets in Complete Locally Convex Spaces.

Characterizations of the subdifferential of convex integral functions under qualification conditions

DOI: http://dx.doi.org/10.1016/j.jfa.2019.02.007

Generalized gradients for probabilistic/robust (probust) constraints

DOI: http://dx.doi.org/10.1080/02331934.2019.1576670

Subdifferential Formulae for the Supremum of an Arbitrary Family of Functions

DOI: http://dx.doi.org/10.1137/17m1163141

Generalized Differentiation of Probability Functions Acting on an Infinite System of Constraints

DOI: http://dx.doi.org/10.1137/18m1181262

On Brøndsted–Rockafellar’s Theorem for convex lower semicontinuous epi-pointed functions in locally convex spaces

Subdifferential characterization of probability functions under Gaussian distribution

DOI: http://dx.doi.org/10.1007/s10107-018-1237-9

Formulae for the Conjugate and the Subdifferential of the Supremum Function

DOI: http://dx.doi.org/10.1007/s10957-018-1350-1

On the Klee–Saint Raymond’s Characterization of Convexity

DOI: http://dx.doi.org/10.1137/15m1037111