Subdifferential characterization of probability functions under Gaussian distribution A Hantoute, R Henrion, P Pérez-Aros
Mathematical Programming 174, 167-194, 2019
43 2019 Generalized gradients for probabilistic/robust (probust) constraints W van Ackooij, R Henrion, P Pérez-Aros
Optimization 69 (7-8), 1451-1479, 2020
25 2020 Generalized differentiation of probability functions acting on an infinite system of constraints W van Ackooij, P Pérez-Aros
SIAM Journal on Optimization 29 (3), 2179-2210, 2019
20 2019 Characterizations of the subdifferential of convex integral functions under qualification conditions R Correa, A Hantoute, P Pérez-Aros
Journal of Functional Analysis 277 (1), 227-254, 2019
19 2019 Dynamic probabilistic constraints under continuous random distributions T González Grandón, R Henrion, P Pérez-Aros
Mathematical Programming 196 (1), 1065-1096, 2022
18 2022 Qualification Conditions-Free Characterizations of the -Subdifferential of Convex Integral Functions R Correa, A Hantoute, P Pérez-Aros
Applied Mathematics & Optimization 83, 1709-1737, 2021
17 2021 Formulae for the conjugate and the subdifferential of the supremum function P Pérez-Aros
Journal of Optimization Theory and Applications 180 (2), 397-427, 2019
17 2019 Determination of convex functions via subgradients of minimal norm P Pérez-Aros, D Salas, E Vilches
Mathematical Programming 190, 561-583, 2021
16 2021 Subdifferential formulae for the supremum of an arbitrary family of functions P Pérez-Aros
SIAM Journal on Optimization 29 (2), 1714-1743, 2019
14 2019 Subdifferential calculus rules for possibly nonconvex integral functions R Correa, A Hantoute, P Pérez-Aros
SIAM Journal on Control and Optimization 58 (1), 462-484, 2020
13 2020 Necessary and sufficient optimality conditions in DC semi-infinite programming R Correa, MA López, P Pérez-Aros
SIAM Journal on Optimization 31 (1), 837-865, 2021
12 2021 Gradient formulae for nonlinear probabilistic constraints with non-convex quadratic forms W van Ackooij, P Pérez-Aros
Journal of Optimization Theory and Applications 185 (1), 239-269, 2020
12 2020 New extremal principles with applications to stochastic and semi-infinite programming BS Mordukhovich, P Pérez-Aros
Mathematical Programming 189, 527-553, 2021
10 2021 On the Klee--Saint Raymond's Characterization of Convexity R Correa, A Hantoute, P Perez-Aros
SIAM Journal on Optimization 26 (2), 1312-1321, 2016
9 2016 Generalized differentiation of probability functions: parameter dependent sets given by intersections of convex sets and complements of convex sets W van Ackooij, P Pérez-Aros
Applied Mathematics & Optimization 85 (1), 2, 2022
8 2022 An Enhanced Baillon–Haddad Theorem for Convex Functions Defined on Convex Sets P Pérez-Aros, E Vilches
Applied Mathematics & Optimization 83 (3), 2241-2252, 2021
8 2021 On Brøndsted–Rockafellar’s Theorem for convex lower semicontinuous epi-pointed functions in locally convex spaces R Correa, A Hantoute, P Pérez-Aros
Mathematical Programming 168, 631-643, 2018
6 2018 Generalized sequential differential calculus for expected-integral functionals BS Mordukhovich, P Pérez-Aros
Set-Valued and Variational Analysis 29, 621-644, 2021
5 2021 Gradient formulae for probability functions depending on a heterogenous family of constraints W van Ackooij, P Pérez-Aros
Open Journal of Mathematical Optimization 2, 1-29, 2021
5 2021 Weak compactness of sublevel sets in complete locally convex spaces P Pérez-Aros, L Thibault
J. Convex Anal. 26 (3), 739-751, 2019
5 2019