Saved in:
| Main Authors: | Gao, Xi, Xiong, Jinxin, Yang, Linxin, Wang, Akang, Xu, Weiwei, Xue, Jiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.09391 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
by: Xiong, Jinxin, et al.
Published: (2025)
by: Xiong, Jinxin, et al.
Published: (2025)
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
by: Gao, Xi, et al.
Published: (2024)
by: Gao, Xi, et al.
Published: (2024)
Relax-and-Cut for Temporal SCUC Decomposition
by: Xiong, Jinxin, et al.
Published: (2025)
by: Xiong, Jinxin, et al.
Published: (2025)
Successive Fixing for Large-Scale SCUC Using First-Order Methods
by: Xiong, Jinxin, et al.
Published: (2025)
by: Xiong, Jinxin, et al.
Published: (2025)
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
by: Yang, Linxin, et al.
Published: (2024)
by: Yang, Linxin, et al.
Published: (2024)
On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks
by: Wu, Chenyang, et al.
Published: (2024)
by: Wu, Chenyang, et al.
Published: (2024)
Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size
by: Lew, Thomas, et al.
Published: (2025)
by: Lew, Thomas, et al.
Published: (2025)
On the (linear) convergence of Generalized Newton Inexact ADMM
by: Frangella, Zachary, et al.
Published: (2023)
by: Frangella, Zachary, et al.
Published: (2023)
A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)
by: Zeng, Yuxuan, et al.
Published: (2024)
SuperADMM: Solving Quadratic Programs Faster with Dynamic Weighting ADMM
by: Verheijen, P. C. N., et al.
Published: (2025)
by: Verheijen, P. C. N., et al.
Published: (2025)
Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence
by: Liao, Feng-Yi, et al.
Published: (2024)
by: Liao, Feng-Yi, et al.
Published: (2024)
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
by: Song, Yongcun, et al.
Published: (2024)
by: Song, Yongcun, et al.
Published: (2024)
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
by: Li, Bingheng, et al.
Published: (2024)
by: Li, Bingheng, et al.
Published: (2024)
Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
by: Fasiku, Damilola, et al.
Published: (2025)
by: Fasiku, Damilola, et al.
Published: (2025)
Mixed-Integer Linear Optimization via Learning-Based Two-Layer Large Neighborhood Search
by: Liu, Wenbo, et al.
Published: (2024)
by: Liu, Wenbo, et al.
Published: (2024)
Riemannian Inexact Gradient Descent for Quadratic Discrimination
by: Talwar, Uday, et al.
Published: (2025)
by: Talwar, Uday, et al.
Published: (2025)
Parallel Graver Basis Extraction for Nonlinear Integer Optimization
by: Liu, Wenbo, et al.
Published: (2024)
by: Liu, Wenbo, et al.
Published: (2024)
Collision-Free Velocity Scheduling for Multi-Agent Systems on Predefined Routes via Inexact-Projection ADMM
by: Lee, Seungyeop, et al.
Published: (2026)
by: Lee, Seungyeop, et al.
Published: (2026)
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)
by: Zhang, Yangming, et al.
Published: (2026)
Solving Minimax Problems with Bilinear Objectives with ADMM
by: Wilson, Bob
Published: (2026)
by: Wilson, Bob
Published: (2026)
A Novel Mixed-Integer Linear Programming Formulation for Continuous-Time Inventory Routing
by: Wang, Akang, et al.
Published: (2023)
by: Wang, Akang, et al.
Published: (2023)
Smoothing Binary Optimization: A Primal-Dual Perspective
by: Liu, Wenbo, et al.
Published: (2025)
by: Liu, Wenbo, et al.
Published: (2025)
Solving a Class of Nonconvex Quadratic Programs by Inertial DC Algorithms
by: Cuong, Tran Hung, et al.
Published: (2024)
by: Cuong, Tran Hung, et al.
Published: (2024)
Distributed Solving of Linear Quadratic Optimal Controller with Terminal State Constraint
by: Yang, Wenjing, et al.
Published: (2025)
by: Yang, Wenjing, et al.
Published: (2025)
An Enhanced ADMM-based Interior Point Method for Linear and Conic Optimization
by: Deng, Qi, et al.
Published: (2022)
by: Deng, Qi, et al.
Published: (2022)
Learning to Relax Nonconvex Quadratically Constrained Quadratic Programs
by: Dedeoglu, Muge, et al.
Published: (2025)
by: Dedeoglu, Muge, et al.
Published: (2025)
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
by: Song, Jintao, et al.
Published: (2024)
by: Song, Jintao, et al.
Published: (2024)
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems
by: Qiu, Yeqing, et al.
Published: (2024)
by: Qiu, Yeqing, et al.
Published: (2024)
Learning to Solve Bilevel Programs with Binary Tender
by: Zhou, Bo, et al.
Published: (2024)
by: Zhou, Bo, et al.
Published: (2024)
Inexact Regularized Quasi-Newton Algorithm for Solving Monotone Variational Inequality Problems
by: Ye, Yuge, et al.
Published: (2025)
by: Ye, Yuge, et al.
Published: (2025)
Inexact Proximal Point and Tseng Algorithms with Nonsummable Errors to Solve Monotone Inclusions
by: Le, Ba Khiet, et al.
Published: (2026)
by: Le, Ba Khiet, et al.
Published: (2026)
A Low-Rank ADMM Splitting Approach for Semidefinite Programming
by: Han, Qiushi, et al.
Published: (2024)
by: Han, Qiushi, et al.
Published: (2024)
Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023)
by: Louzeiro, Mauricio S., et al.
Published: (2023)
An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Near-Optimal Mixed Strategy for Zero-Sum Linear-Quadratic Differential Games
by: Xu, Tao, et al.
Published: (2026)
by: Xu, Tao, et al.
Published: (2026)
An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs
by: Maia, Leandro Farias, et al.
Published: (2024)
by: Maia, Leandro Farias, et al.
Published: (2024)
Convergence Analysis of a Relative-type Inexact Preconditioned Proximal ALM for Convex Nonlinear Programming
by: Yang, Lei, et al.
Published: (2025)
by: Yang, Lei, et al.
Published: (2025)
A New Inexact Manifold Proximal Linear Algorithm with Adaptive Stopping Criteria
by: Zheng, Zhong, et al.
Published: (2025)
by: Zheng, Zhong, et al.
Published: (2025)
Distributed Event-Based Learning via ADMM
by: Er, Guner Dilsad, et al.
Published: (2024)
by: Er, Guner Dilsad, et al.
Published: (2024)
Similar Items
-
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
by: Xiong, Jinxin, et al.
Published: (2025) -
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
by: Gao, Xi, et al.
Published: (2024) -
Relax-and-Cut for Temporal SCUC Decomposition
by: Xiong, Jinxin, et al.
Published: (2025) -
Successive Fixing for Large-Scale SCUC Using First-Order Methods
by: Xiong, Jinxin, et al.
Published: (2025) -
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
by: Yang, Linxin, et al.
Published: (2024)