Image de couverture de livre

Quasi-Newton Method for Set Optimization Problems with Set-Valued Mapping Given by Finitely Many Vector-Valued Functions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ghosh, Debdas, Anshika, Yao, Jen-Chih, Zhao, Xiaopeng
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control 49J53, 90C29, 90C47
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Nonlinear Conjugate Gradient Methods for Optimization of Set-Valued Mappings of Finite Cardinality
par: Ghosh, Debdas, et autres
Publié: (2024)

Trust-Region Method for Optimization of Set-Valued Maps Given by Finitely Many Functions
par: Ghosh, Suprova, et autres
Publié: (2025)

Cubic Regularization Technique of the Newton Method for Vector Optimization
par: Ghosh, Debdas
Publié: (2025)

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

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

Practical Regularized Quasi-Newton Methods with Inexact Function Values
par: Hamaguchi, Hiroki, et autres
Publié: (2026)

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

A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization
par: Thomä, Simon, et autres
Publié: (2024)

On Generalized Forward-Reflected-Backward Method for Monotone Inclusion Problems
par: Soe, Santanu, et autres
Publié: (2025)

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

A Set-Valued Lagrange Theorem based on a Process for Convex Vector Programming
par: García-Castaño, Fernando, et autres
Publié: (2024)

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

Frechet and Mordukhovich Derivative (Coderivative) and Covering Constant for Single-Valued Mapping in Euclidean Space with Applications (I)
par: Li, Jinlu
Publié: (2025)

Frechet and Mordukhovich Derivative (Coderivative) and Covering Constant for Single-Valued Mapping in Euclidean Space with Application (II)
par: Li, Jinlu
Publié: (2025)

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

Two Typical Implementable Semismooth* Newton Methods for Generalized Equations are G-Semismooth Newton Methods
par: Chen, Liang, et autres
Publié: (2024)

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

A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers
par: Menickelly, Matt, et autres
Publié: (2023)

Lagrange Multipliers, Duality, and Sensitivity in Set-Valued Convex Programming via Pointed Closed Convex Processes
par: García-Castaño, Fernando, et autres
Publié: (2024)

Differentiation in Topological Vector Spaces
par: Li, Jinlu
Publié: (2026)

Nonlinear Separation Theorems for Co-Radiant Sets and Optimality Conditions for Approximate and Proper Approximate Solutions in Vector Optimization
par: García-Castaño, Fernando, et autres
Publié: (2025)

Stability of Nonhomogeneous Split Equality and Split Feasibility Problems with Possibly Nonconvex Constraint Sets
par: Huong, Vu Thi, et autres
Publié: (2024)

Differentiation and Covering Constants for Hilbert-Schmidt and Quasi-Hilbert-Schmidt Operators
par: Li, Jinlu
Publié: (2025)

Regularized Multiobjective Optimization with Directionally Lipschitzian Data
par: Bento, G. C., et autres
Publié: (2025)

Characterizations of the Aubin Property of the Solution Mapping for Nonlinear Semidefinite Programming
par: Chen, Liang, et autres
Publié: (2024)

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

QPALM: A Proximal Augmented Lagrangian Method for Nonconvex Quadratic Programs
par: Hermans, Ben, et autres
Publié: (2020)

Process-Based Lagrange Multipliers for Nonconvex Set-Valued Optimization
par: García-Castaño, Fernando, et autres
Publié: (2026)

Solutions of Two-stage Stochastic Minimax Problems
par: Sun, Hailin, et autres
Publié: (2025)

Stability for Nash Equilibrium Problems
par: Diao, Ruoyu, et autres
Publié: (2024)

Calculating Covering Constants for Mappings in Euclidean Spaces Using Mordukhovich Coderivatives with Applications
par: Li, Jinlu
Publié: (2025)

One-parameter Filled Function Method for Non-convex Multi-objective Optimization Problems
par: Adhikary, Bikram, et autres
Publié: (2026)

Covering Constants for Metric Projection Operator with Applications to Stochastic Fixed-Point Problems
par: Li, Jinlu
Publié: (2024)

Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent
par: Cai, HanQin, et autres
Publié: (2024)

Existence Results and KKT Optimality Conditions for Generalized Quasiconvex Functions
par: Alizadeh, M. H., et autres
Publié: (2026)

On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
par: Dezfulian, Shima, et autres
Publié: (2024)

On the Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem
par: Fallah, Samira, et autres
Publié: (2023)

Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints
par: Bot, Radu Ioan, et autres
Publié: (2024)

Bi-Objective Optimization over the Efficient Set of Multi-Objective Integer Quadratic Problem
par: Bencheikh, Ali, et autres
Publié: (2024)

Quasi-Newton methods for minimizing a quadratic function subject to uncertainty
par: Peng, Shen, et autres
Publié: (2021)