Image de couverture de livre

On the existence and the stability of solutions in nonconvex vector optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Van Nghi, Tran, Kien, Le Ngoc, Van Tuyen, Nguyen
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control 90C29, 49J30, 90C31, 90C26, 49J52
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Weak sharp minima at infinity and solution stability in mathematical programming via asymptotic analysis
par: Lara, Felipe, et autres
Publié: (2024)

Directional Subdifferentials at Infinity and Its Applications
par: Kien, Le Ngoc, et autres
Publié: (2025)

On second-order Karush--Kuhn--Tucker optimality conditions for $C^{1,1}$ vector optimization problems
par: Van Tuyen, Nguyen
Publié: (2025)

Approximate optimality conditions and sensitivity analysis in nearly convex optimization
par: Van Tuyen, Nguyen, et autres
Publié: (2024)

Second-Order Optimality Conditions for Sparse Differentiable Optimization Problems via Limiting Second-Order Subdifferentials
par: Huyen, Luu Thi Thu, et autres
Publié: (2026)

On approximate Pareto solutions in nonsmooth interval-valued multiobjective optimization with data uncertainty in constraints
par: Quan, Vu Hong, et autres
Publié: (2025)

On second-order optimality conditions for $C^{1,1}$ optimization problems via Lagrangian functions
par: An, Duong Thi Viet, et autres
Publié: (2024)

Finding directional stationary points of DC programs
par: Thi, Hoai An Le, et autres
Publié: (2026)

Duality Theory on Vector Spaces
par: Van Cuong, Dang, et autres
Publié: (2023)

$\ell_0$-Norm Multiobjective Optimization Models Motivated by Applications to Proton Therapy
par: Cong, Xiaoda, et autres
Publié: (2025)

Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type linesearch algorithms
par: Themelis, Andreas, et autres
Publié: (2020)

Optimality conditions at infinity for nonsmooth minimax programming
par: Van Tuyen, Nguyen, et autres
Publié: (2024)

A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: superlinear convergence to nonisolated local minima
par: Ahookhosh, Masoud, et autres
Publié: (2019)

Geometric characterizations of Lipschitz stability for convex optimization problems
par: Nghia, Tran T. A.
Publié: (2024)

Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
par: Latafat, Puya, et autres
Publié: (2019)

Perturbation analysis of a class of composite optimization problems
par: Tang, Peipei, et autres
Publié: (2024)

Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity
par: Latafat, Puya, et autres
Publié: (2021)

On the growth of nonconvex functionals at strict local minimizers
par: Corella, Alberto Domínguez, et autres
Publié: (2024)

Optimization Problems with Difference of Tangentially Convex Functions under Uncertainty
par: Mashkoorzadeh, Feryal, et autres
Publié: (2026)

Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
par: Kim, Jihun
Publié: (2025)

Stationarity in nonsmooth optimization between geometrical motivation and topological relevance
par: Shikhman, Vladimir
Publié: (2024)

Tilt stability of Ky-Fan $κ$-norm composite optimization
par: Liu, Yulan, et autres
Publié: (2024)

Projected subgradient methods for paraconvex optimization: Application to robust low-rank matrix recovery
par: Rahimi, Morteza, et autres
Publié: (2024)

Lipschitz stability of least-squares problems regularized by functions with $\mathcal{C}^2$-cone reducible conjugates
par: Cui, Ying, et autres
Publié: (2024)

A penalty barrier framework for nonconvex constrained optimization
par: De Marchi, Alberto, et autres
Publié: (2024)

ItsOPT: An inexact two-level smoothing framework for nonconvex optimization via high-order Moreau envelope
par: Kabgani, Alireza, et autres
Publié: (2024)

Local properties and augmented Lagrangians in fully nonconvex composite optimization
par: De Marchi, Alberto, et autres
Publié: (2023)

SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
par: Behmandpoor, Pourya, et autres
Publié: (2022)

The Least Singular Value Function in Variational Analysis
par: Jelitte, Mario, et autres
Publié: (2025)

PANOC-lite: A simpler and more efficient algorithm for composite minimization
par: Bodard, Alexander, et autres
Publié: (2026)

(Adaptive) Scaled gradient methods beyond locally Holder smoothness: Lyapunov analysis, convergence rate and complexity
par: Ghaderi, Susan, et autres
Publié: (2025)

On the directional asymptotic approach in optimization theory
par: Benko, Matúš, et autres
Publié: (2024)

Isolated Calmness in Regularized Convex Optimization
par: Nghia, Tran T. A., et autres
Publié: (2026)

Exact penalty functions in optimization with unbounded constraint sets
par: Jiao, Liguo, et autres
Publié: (2025)

On Differential Stability of a Class of Convex Optimization Problems
par: Yen, Nguyen Dong, et autres
Publié: (2024)

Using second-order information in gradient sampling methods for nonsmooth optimization
par: Gebken, Bennet
Publié: (2022)

Second-Order Strong Optimality and Second-Order Duality for Nonsmooth Constrained Multiobjective Fractional Programming Problems
par: Chen, Jiawei, et autres
Publié: (2024)

Analyzing the speed of convergence in nonsmooth optimization via the Goldstein subdifferential with application to descent methods
par: Gebken, Bennet
Publié: (2024)

Approximate directional stationarity and associated qualification conditions
par: Käming, Isabella, et autres
Publié: (2026)

Subdifferential Calculus for Ordered Set-Valued Mappings between Infinite-Dimensional Spaces
par: Mordukhovich, Boris S., et autres
Publié: (2024)