Necessary and sufficient optimality conditions in DC semi-infinite programming
R Correa, MA López, P Pérez-Aros - SIAM Journal on Optimization, 2021 - SIAM
This paper deals with particular families of DC optimization problems involving suprema of
convex functions. We show that the specific structure of this type of function allows us to …
convex functions. We show that the specific structure of this type of function allows us to …
On optimality conditions and duality theorems for approximate solutions of nonsmooth infinite optimization problems
TH Pham - Positivity, 2023 - Springer
On optimality conditions and duality theorems for approximate solutions of nonsmooth infinite
optimization problems | SpringerLink Skip to main content Advertisement SpringerLink Log in …
optimization problems | SpringerLink Skip to main content Advertisement SpringerLink Log in …
Formulae for the conjugate and the subdifferential of the supremum function
P Pérez-Aros - Journal of Optimization Theory and Applications, 2019 - Springer
This paper aims at providing some formulae for the subdifferential and the conjungate
function of the supremum function over an arbitrary family of functions. The work is …
function of the supremum function over an arbitrary family of functions. The work is …
Qualification Conditions-Free Characterizations of the -Subdifferential of Convex Integral Functions
R Correa, A Hantoute, P Pérez-Aros - Applied Mathematics & Optimization, 2021 - Springer
We provide formulae for the ε ε-subdifferential of the integral function I_f (x):= ∫ _T f (t, x) d μ
(t) I f (x):=∫ T f (t, x) d μ (t), where the integrand f: T * X → R f: T× X→ R¯ is measurable in (t …
(t) I f (x):=∫ T f (t, x) d μ (t), where the integrand f: T * X → R f: T× X→ R¯ is measurable in (t …
New extremal principles with applications to stochastic and semi-infinite programming
BS Mordukhovich, P Pérez-Aros - Mathematical Programming, 2021 - Springer
This paper develops new extremal principles of variational analysis that are motivated by
applications to constrained problems of stochastic programming and semi-infinite …
applications to constrained problems of stochastic programming and semi-infinite …
Duality-based single-level reformulations of bilevel optimization problems
S Dempe, P Mehlitz - arXiv preprint arXiv:2405.07672, 2024 - arxiv.org
Usually, bilevel optimization problems need to be transformed into single-level ones in order
to derive optimality conditions and solution algorithms. Among the available approaches, the …
to derive optimality conditions and solution algorithms. Among the available approaches, the …
Robustness in nonsmooth nonconvex optimization problems
In this paper, the robust approach (the worst case approach) for nonsmooth nonconvex
optimization problems with uncertainty data is studied. First various robust constraint …
optimization problems with uncertainty data is studied. First various robust constraint …
[HTML][HTML] Fuzzy multiplier, sum and intersection rules in non-Lipschitzian settings: Decoupling approach revisited
We revisit the decoupling approach widely used (often intuitively) in nonlinear analysis and
optimization and initially formalized about a quarter of a century ago by Borwein & Zhu …
optimization and initially formalized about a quarter of a century ago by Borwein & Zhu …
Moreau envelope of supremum functions with applications to infinite and stochastic programming
P Pérez-Aros, E Vilches - SIAM Journal on Optimization, 2021 - SIAM
In this paper, we investigate the Moreau envelope of the supremum of a family of convex,
proper, and lower semicontinuous functions. Under mild assumptions, we prove that the …
proper, and lower semicontinuous functions. Under mild assumptions, we prove that the …
Bilevel optimization and variational analysis
BS Mordukhovich - Bilevel Optimization: Advances and Next Challenges, 2020 - Springer
This chapter presents a self-contained approach of variational analysis and generalized
differentiation to deriving necessary optimality conditions in bilevel optimization with …
differentiation to deriving necessary optimality conditions in bilevel optimization with …