Image de couverture de livre

Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhai, Yiqing, Cui, Ying, Tsang, Danny H. K.
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Decomposition Framework for Nonlinear Nonconvex Two-Stage Optimization
par: Lou, Yuchen, et autres
Publié: (2025)

Variational Theory and Algorithms for a Class of Asymptotically Approachable Nonconvex Problems
par: Li, Hanyang, et autres
Publié: (2023)

Methods of Nonconvex Optimization
par: Mikhalevich, V. S., et autres
Publié: (2024)

Compressed Gradient Tracking Algorithms for Distributed Nonconvex Optimization
par: Xu, Lei, et autres
Publié: (2023)

A Unified Algorithm for Nonconvex Decentralized Nonlinear Optimization
par: Wu, Hao, et autres
Publié: (2025)

A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
par: Wei, Jiazhen, et autres
Publié: (2025)

Multi-step Inertial Accelerated Doubly Stochastic Gradient Methods for Block Term Tensor Decomposition
par: Liu, Zehui, et autres
Publié: (2025)

Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
par: Shi, Jinyang, et autres
Publié: (2026)

Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
par: Wang, Haonan, et autres
Publié: (2025)

Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms
par: Xie, Antai, et autres
Publié: (2023)

Adaptive Algorithms for Nonconvex Bilevel Optimization under PŁ Conditions
par: Shi, Xu, et autres
Publié: (2025)

Sum of Squares Decompositions for Structured Biquadratic Forms
par: Xu, Yi, et autres
Publié: (2025)

A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
par: Qiu, Chenyang, et autres
Publié: (2026)

A Decomposition Method for Solving Sensitivity-Based Distributed Optimal Power Flow
par: Alkhraijah, Mohannad, et autres
Publié: (2025)

Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
par: Chen, Lesi, et autres
Publié: (2025)

Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
par: Ding, Kuangyu, et autres
Publié: (2024)

A Homogeneous Second-Order Descent Method for Nonconvex Optimization
par: Zhang, Chuwen, et autres
Publié: (2022)

A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
par: Ye, Zilong, et autres
Publié: (2025)

A Hybrid Subgradient Method for Nonsmooth Nonconvex Bilevel Optimization
par: Xiao, Nachuan, et autres
Publié: (2025)

Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
par: Khanh, Pham Duy, et autres
Publié: (2024)

Sum of Squares Decompositions and Rank Bounds for Biquadratic Forms
par: Qi, Liqun, et autres
Publié: (2026)

Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
par: Jiang, Xia, et autres
Publié: (2025)

Nesterov Acceleration with Operator Decomposition
par: Lee, Jaewook, et autres
Publié: (2026)

Unified Compression Algorithm for Distributed Nonconvex Optimization: Generalized to 1-Bit, Saturation, and Bounded Noise
par: Wang, Haonan, et autres
Publié: (2026)

Decomposition-Coordination Method for Finite Horizon Bandit Problems
par: de Lara, Michel, et autres
Publié: (2021)

Quantized Distributed Nonconvex Optimization Algorithms with Linear Convergence under the Polyak--$Ł$ojasiewicz Condition
par: Xu, Lei, et autres
Publié: (2022)

A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
par: Ou, Zichong, et autres
Publié: (2023)

Residuals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm
par: Zhu, Qing, et autres
Publié: (2024)

Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
par: Tran-Dinh, Quoc, et autres
Publié: (2024)

Adaptive Regularization within Trust Region Methods for Stochastic Nonconvex Optimization
par: Ha, Yunsoo, et autres
Publié: (2026)

An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
par: Amaral, Vitaliano S., et autres
Publié: (2025)

Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness
par: Xie, Chenghan, et autres
Publié: (2023)

A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
par: Liao, Yiwei, et autres
Publié: (2024)

INTHOP: A Second-Order Globally Convergent Method for Nonconvex Optimization
par: Kumar, Krishan, et autres
Publié: (2025)

Graph-Based Modeling and Decomposition of Hierarchical Optimization Problems
par: Cole, David L., et autres
Publié: (2025)

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
par: Wang, Qingsong, et autres
Publié: (2024)

A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
par: Xie, Antai, et autres
Publié: (2024)

Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality
par: Wei, Jiazhen, et autres
Publié: (2025)

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
par: Zhou, Dongruo, et autres
Publié: (2018)

Query-Efficient Zeroth-Order Algorithms for Nonconvex Constrained Optimization
par: Jin, Ruiyang, et autres
Publié: (2025)