Cover Image

Nonmonotone Trust-Region Methods for Optimization of Set-Valued Mapping of Finite Cardinality

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghosh, Suprova, Ghosh, Debdas, Peng, Zai-Yun, Long, Xian-Jun
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trust-Region Method for Optimization of Set-Valued Maps Given by Finitely Many Functions
by: Ghosh, Suprova, et al.
Published: (2025)

Nonlinear Conjugate Gradient Methods for Optimization of Set-Valued Mappings of Finite Cardinality
by: Ghosh, Debdas, et al.
Published: (2024)

Newton Method for Set Optimization Problems with Set-Valued Mapping of Finitely Many Vector-Valued Functions
by: Ghosh, Debdas, et al.
Published: (2024)

Newton Method for Multiobjective Optimization Problems of Interval-Valued Maps
by: Mondal, Tapas, et al.
Published: (2026)

Quasi-Newton Method for Set Optimization Problems with Set-Valued Mapping Given by Finitely Many Vector-Valued Functions
by: Ghosh, Debdas, et al.
Published: (2024)

Nonlinear Conjugate Gradient Method for Multiobjective Optimization Problems of Interval-Valued Maps
by: Mondal, Tapas, et al.
Published: (2026)

PRP, HS and LS Conjugate Gradient Methods for Interval-Valued Multiobjective Optimization Problems
by: Mondal, Tapas, et al.
Published: (2026)

Robust Optimization Approach for Solving Uncertain Multiobjective Optimization Problems Using the Projected Gradient Method
by: Kumar, Shubham, et al.
Published: (2025)

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

A Quasi-Newton Method to Solve Uncertain Multiobjective Optimization Problems with Uncertainty Set of Finite Cardinality
by: Gupta, K., et al.
Published: (2025)

Global Convergence and Rate Analysis of the Steepest Descent Method for Uncertain Multiobjective Optimization via a Robust Optimization Approach
by: Kumar, Shubham, et al.
Published: (2025)

Solution of Uncertain Multiobjective Optimization Problems by Using Nonlinear Conjugate Gradient Method
by: Kumar, Shubham, et al.
Published: (2025)

Generalized Ordered Weighted Aggregation Robustness to Solve Uncertain Single Objective Optimization Problems
by: Kishor, Nand, et al.
Published: (2024)

Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization
by: Long, Xian-Jun, et al.
Published: (2025)

A Finite-Difference Trust-Region Method for Convexly Constrained Smooth Optimization
by: Davar, Dânâ, et al.
Published: (2025)

A Steepest Gradient Method with Nonmonotone Adaptive Step-sizes for the Nonconvex Minimax and Multi-Objective Optimization Problems
by: Anh, Nguyen Duc, et al.
Published: (2025)

A Nonmonotone Descent Method for Optimization Problems Defined by Upper-$\mathcal{C}^2 $ Functions over Submanifolds
by: Kanzow, Christian, et al.
Published: (2026)

Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization
by: Ha, Yunsoo, et al.
Published: (2023)

Nonmonotone Spectral Analysis for Variational Inclusions
by: Hazaimah, Oday
Published: (2025)

Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness
by: Xie, Chenghan, et al.
Published: (2023)

Adaptive Regularization within Trust Region Methods for Stochastic Nonconvex Optimization
by: Ha, Yunsoo, et al.
Published: (2026)

Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
by: Fasiku, Damilola, et al.
Published: (2025)

Nonmonotone higher-order Taylor approximation methods for composite problems
by: Nabou, Yassine
Published: (2025)

On the Stationary Duality of Structural Composite Cardinality Optimization
by: Zhang, Penghe, et al.
Published: (2026)

Convergence of Nonmonotone Proximal Gradient Methods under the Kurdyka-Lojasiewicz Property without a Global Lipschitz Assumption
by: Kanzow, Christian, et al.
Published: (2024)

Trust-Region Stochastic Optimization with Variance Reduction Technique
by: Zheng, Xinshou
Published: (2024)

A Trust Region Method with Regularized Barzilai-Borwein Step-Size for Large-Scale Unconstrained Optimization
by: Xu, Xin, et al.
Published: (2024)

Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization
by: Ha, Yunsoo, et al.
Published: (2024)

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
by: Ha, Yunsoo, et al.
Published: (2025)

Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets
by: Yu, Xian, et al.
Published: (2024)

A Nonmonotone Front Descent Method for Bound-Constrained Multi-Objective Optimization
by: Mansueto, Pierluigi
Published: (2025)

AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems
by: Zhang, Xuan, et al.
Published: (2024)

LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
by: Van Dieren, Eliott, et al.
Published: (2026)

Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency
by: Jiang, Yuntian, et al.
Published: (2025)

Beyond Nonconvexity: A Universal Trust-Region Method with New Analyses
by: Jiang, Yuntian, et al.
Published: (2023)

VFOG: Variance-Reduced Fast Optimistic Gradient Methods for a Class of Nonmonotone Generalized Equations
by: Tran-Dinh, Quoc, et al.
Published: (2025)

An Inexact Weighted Proximal Trust-Region Method
by: Maia, Leandro Farias, et al.
Published: (2026)

Cardinal Optimizer (COPT) User Guide
by: Ge, Dongdong, et al.
Published: (2022)

Sub-sampled Trust-Region Methods with Deterministic Worst-Case Complexity Guarantees
by: Goncalves, Max L. N., et al.
Published: (2025)

Exact Penalization at D-Stationary Points of Cardinality- or Rank-Constrained Problem
by: Yagishita, Shotaro, et al.
Published: (2022)