Cover Image

Linear convergence of Gearhart-Koshy accelerated Kaczmarz methods for tensor linear systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yijie, Sun, Yonghan, Han, Deren, Xie, Jiaxin
Format:	Preprint
Published:	2026
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
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)

On greedy multi-step inertial randomized Kaczmarz method for solving linear systems
by: Su, Yansheng, et al.
Published: (2023)

Connecting randomized iterative methods with Krylov subspaces
by: Sun, Yonghan, et al.
Published: (2025)

Generalized Gearhart-Koshy acceleration is a Krylov subspace method
by: Hegland, Markus, et al.
Published: (2023)

On subspace-constrained preconditioning for randomized iterative methods
by: Sun, Yonghan, et al.
Published: (2026)

Randomized Kaczmarz methods for t-product tensor linear systems with factorized operators
by: Castillo, Alejandra, et al.
Published: (2024)

Randomized block Kaczmarz with volume sampling: Momentum acceleration and efficient implementation
by: Xiang, Ruike, et al.
Published: (2025)

Randomized iterative methods for generalized absolute value equations: Solvability and error bounds
by: Xie, Jiaxin, et al.
Published: (2024)

On maximum residual block Kaczmarz method for solving large consistent linear systems
by: Sun, Wen-Ning, et al.
Published: (2024)

On adaptive stochastic extended iterative methods for solving least squares
by: Zeng, Yun, et al.
Published: (2024)

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum
by: Guo, Liqi, et al.
Published: (2025)

On convergence of greedy block nonlinear Kaczmarz methods with momentum
by: Jiang, Naiyu, et al.
Published: (2025)

Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
by: Zeng, Yun, et al.
Published: (2023)

Robust Kaczmarz methods for nearly singular linear systems
by: Ke, Yunying, et al.
Published: (2026)

On convergence of residual-based extended randomized Kaczmarz methods for matrix equations
by: Bao, Wendi, et al.
Published: (2026)

Accelerated Kaczmarz methods via randomized sketch techniques for solving consistent linear systems
by: Jiang, Haochen, et al.
Published: (2025)

Randomized batch-sampling Kaczmarz methods for solving linear systems
by: Xie, Dong-Yue, et al.
Published: (2025)

Asymptotic convergence of restarted Anderson acceleration for certain normal linear systems
by: Krzysik, Oliver A., et al.
Published: (2023)

Randomized conjugate gradient least squares
by: Zeng, Yun, et al.
Published: (2026)

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)

On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C
by: Wu, Nian-Ci, et al.
Published: (2023)

Average block nonlinear Kaczmarz methods with adaptive momentum for nonlinear systems of equations
by: Ding, Renjie, et al.
Published: (2026)

Greedy randomized Bregman-Kaczmarz method for constrained nonlinear systems of equations
by: Xiao, Aqin, et al.
Published: (2024)

A class of maximum-based iteration methods for the generalized absolute value equation
by: Wu, Shiliang, et al.
Published: (2024)

The sparse Kaczmarz method with surrogate hyperplane for the regularized basis pursuit problem
by: Wang, Ze, et al.
Published: (2024)

An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization
by: Tondji, Lionel, et al.
Published: (2025)

On Quantile Randomized Kaczmarz for Linear Systems with Time-Varying Noise and Corruption
by: Coria, Nestor, et al.
Published: (2024)

Deterministic and randomized Kaczmarz methods for $AXB=C$ with applications to color image restoration
by: Wang, Wenli, et al.
Published: (2026)

An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
by: Yu, Dongmei, et al.
Published: (2021)

Randomized Kaczmarz with tail averaging
by: Epperly, Ethan N., et al.
Published: (2024)

Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems
by: Castillo, Alejandra, et al.
Published: (2025)

Optimal local linear convergence of Nesterov's accelerated gradient method for $C^2$ functions under the Polyak--Łojasiewicz inequality
by: Feng, Zixu, et al.
Published: (2026)

Kaczmarz Kac Walk
by: Steinerberger, Stefan
Published: (2024)

Greedy randomized block Kaczmarz method for matrix equation AXB=C and its applications in color image restoration
by: Wang, Wenli, et al.
Published: (2024)

Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
by: Zhang, Minxin, et al.
Published: (2024)

A fast block nonlinear Bregman-Kaczmarz method with averaging for nonlinear sparse signal recovery
by: Xiao, Aqin, et al.
Published: (2025)

A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation
by: Lok, Jackie, et al.
Published: (2023)

A tensor Alternating Anderson-Richardson method for solving multilinear systems with M-tensors
by: Niu, Jing, et al.
Published: (2024)

Two-dimensional greedy randomized Kaczmarz methods for solving large-scale linear systems
by: Li, Tao, et al.
Published: (2025)

Carleman Linearization of Parabolic PDEs: Well-posedness, convergence, and efficient numerical methods
by: Heinzelreiter, Bernhard, et al.
Published: (2025)