Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Liqi, Xiang, Ruike, Han, Deren, Xie, Jiaxin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A simple linear convergence analysis of the randomized reshuffling Kaczmarz method
by: Han, Deren, et al.
Published: (2024)
by: Han, Deren, et al.
Published: (2024)
Connecting randomized iterative methods with Krylov subspaces
by: Sun, Yonghan, et al.
Published: (2025)
by: Sun, Yonghan, et al.
Published: (2025)
On adaptive stochastic extended iterative methods for solving least squares
by: Zeng, Yun, et al.
Published: (2024)
by: Zeng, Yun, et al.
Published: (2024)
Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
by: Zeng, Yun, et al.
Published: (2023)
by: Zeng, Yun, et al.
Published: (2023)
On subspace-constrained preconditioning for randomized iterative methods
by: Sun, Yonghan, et al.
Published: (2026)
by: Sun, Yonghan, et al.
Published: (2026)
On greedy multi-step inertial randomized Kaczmarz method for solving linear systems
by: Su, Yansheng, et al.
Published: (2023)
by: Su, Yansheng, et al.
Published: (2023)
Randomized iterative methods for generalized absolute value equations: Solvability and error bounds
by: Xie, Jiaxin, et al.
Published: (2024)
by: Xie, Jiaxin, et al.
Published: (2024)
Randomized block Kaczmarz with volume sampling: Momentum acceleration and efficient implementation
by: Xiang, Ruike, et al.
Published: (2025)
by: Xiang, Ruike, et al.
Published: (2025)
Linear convergence of Gearhart-Koshy accelerated Kaczmarz methods for tensor linear systems
by: Wang, Yijie, et al.
Published: (2026)
by: Wang, Yijie, et al.
Published: (2026)
Randomized Douglas-Rachford methods for linear systems: Improved accuracy and efficiency
by: Han, Deren, et al.
Published: (2022)
by: Han, Deren, et al.
Published: (2022)
A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems
by: Dong, Yakun, et al.
Published: (2022)
by: Dong, Yakun, et al.
Published: (2022)
Randomized conjugate gradient least squares
by: Zeng, Yun, et al.
Published: (2026)
by: Zeng, Yun, et al.
Published: (2026)
A class of maximum-based iteration methods for the generalized absolute value equation
by: Wu, Shiliang, et al.
Published: (2024)
by: Wu, Shiliang, et al.
Published: (2024)
A generalization of the relaxation-based matrix splitting iterative method for solving the system of generalized absolute value equations
by: Li, Xuehua, et al.
Published: (2023)
by: Li, Xuehua, et al.
Published: (2023)
On the adaptive deterministic block coordinate descent methods with momentum for solving large linear least-squares problems
by: Tan, Long-Ze, et al.
Published: (2024)
by: Tan, Long-Ze, et al.
Published: (2024)
An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
by: Yu, Dongmei, et al.
Published: (2021)
by: Yu, Dongmei, et al.
Published: (2021)
Average block nonlinear Kaczmarz methods with adaptive momentum for nonlinear systems of equations
by: Ding, Renjie, et al.
Published: (2026)
by: Ding, Renjie, et al.
Published: (2026)
On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C
by: Wu, Nian-Ci, et al.
Published: (2023)
by: Wu, Nian-Ci, et al.
Published: (2023)
A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
by: Hu, Leyu, et al.
Published: (2024)
by: Hu, Leyu, et al.
Published: (2024)
An adaptive ANOVA stochastic Galerkin method for partial differential equations with high-dimensional random inputs
by: Wang, Guanjie, et al.
Published: (2023)
by: Wang, Guanjie, et al.
Published: (2023)
On the adaptive Levin method
by: Chen, Shukui, et al.
Published: (2022)
by: Chen, Shukui, et al.
Published: (2022)
On convergence of greedy block nonlinear Kaczmarz methods with momentum
by: Jiang, Naiyu, et al.
Published: (2025)
by: Jiang, Naiyu, et al.
Published: (2025)
Improved randomized neural network methods with boundary processing for solving elliptic equations
by: Zhou, Huifang, et al.
Published: (2024)
by: Zhou, Huifang, et al.
Published: (2024)
On the power of adaption and randomization
by: Krieg, David, et al.
Published: (2024)
by: Krieg, David, et al.
Published: (2024)
Accurate adaptive deep learning method for solving elliptic problems
by: Ying, Jingyong, et al.
Published: (2024)
by: Ying, Jingyong, et al.
Published: (2024)
SOR-like iteration and FPI are consistent when they are equipped with certain optimal iterative parameters
by: Liu, Jiayu, et al.
Published: (2024)
by: Liu, Jiayu, et al.
Published: (2024)
A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
by: Chen, Cairong, et al.
Published: (2021)
by: Chen, Cairong, et al.
Published: (2021)
An adaptive Levin method for complicated domains
by: Chen, Shukui, et al.
Published: (2024)
by: Chen, Shukui, et al.
Published: (2024)
On the Polyak momentum variants of the greedy deterministic single and multiple row-action methods
by: Wu, Nian-Ci, et al.
Published: (2022)
by: Wu, Nian-Ci, et al.
Published: (2022)
An adaptive Hermite spectral method for the Boltzmann equation
by: Shao, Sihong, et al.
Published: (2025)
by: Shao, Sihong, et al.
Published: (2025)
An adaptive delaminating Levin method in two dimensions
by: Chen, Shukui, et al.
Published: (2025)
by: Chen, Shukui, et al.
Published: (2025)
A quick probability-oriented introduction to operator splitting methods
by: Vovchanskyi, M. B.
Published: (2023)
by: Vovchanskyi, M. B.
Published: (2023)
Enhanced gradient recovery-based a posteriori error estimator and adaptive finite element method for elliptic equations
by: Liu, Ying, et al.
Published: (2025)
by: Liu, Ying, et al.
Published: (2025)
Construction of adaptive exponential multi-operator splitting methods
by: Koch, Othmar, et al.
Published: (2023)
by: Koch, Othmar, et al.
Published: (2023)
Quantum-assisted hλ-adaptive finite element method
by: Drebotiy, R. H., et al.
Published: (2024)
by: Drebotiy, R. H., et al.
Published: (2024)
Stochastic theta methods for free stochastic differential equations
by: Niu, Yuanling, et al.
Published: (2024)
by: Niu, Yuanling, et al.
Published: (2024)
An inverse-free fixed-time stable dynamical system and its forward-Euler discretization for solving generalized absolute value equations
by: Li, Xuehua, et al.
Published: (2025)
by: Li, Xuehua, et al.
Published: (2025)
Projecting onto the Unit Dual Quaternion Set
by: Li, Ziyang, et al.
Published: (2025)
by: Li, Ziyang, et al.
Published: (2025)
An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction
by: Lin, Yizun, et al.
Published: (2024)
by: Lin, Yizun, et al.
Published: (2024)
Efficient adaptive randomized algorithms for fixed-threshold low-rank matrix approximation
by: Liu, Qiaohua, et al.
Published: (2025)
by: Liu, Qiaohua, et al.
Published: (2025)
Similar Items
-
A simple linear convergence analysis of the randomized reshuffling Kaczmarz method
by: Han, Deren, et al.
Published: (2024) -
Connecting randomized iterative methods with Krylov subspaces
by: Sun, Yonghan, et al.
Published: (2025) -
On adaptive stochastic extended iterative methods for solving least squares
by: Zeng, Yun, et al.
Published: (2024) -
Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
by: Zeng, Yun, et al.
Published: (2023) -
On subspace-constrained preconditioning for randomized iterative methods
by: Sun, Yonghan, et al.
Published: (2026)