A weighted randomized sparse Kaczmarz method for solving linear systems
From MaRDI portal
Publication:2099537
DOI10.1007/s40314-022-02105-9OpenAlexW4308545478MaRDI QIDQ2099537
Hui Zhang, Lu Zhang, Ziyang Yuan, Hong-Xia Wang
Publication date: 24 November 2022
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40314-022-02105-9
linear convergenceBregman projectionKaczmarz methodBregman distancesparse solutionweighted sampling rule
Numerical optimization and variational techniques (65K10) Iterative numerical methods for linear systems (65F10)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Randomized Kaczmarz solver for noisy linear systems
- A randomized Kaczmarz algorithm with exponential convergence
- Introductory lectures on convex optimization. A basic course.
- Linear convergence of the randomized sparse Kaczmarz method
- Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method
- On randomized partial block Kaczmarz method for solving huge linear algebraic systems
- Atomic Decomposition by Basis Pursuit
- Randomized Extended Kaczmarz for Solving Least Squares
- The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations
- The university of Florida sparse matrix collection
- Sparse and Redundant Representations
- Variational Analysis
- Exact Regularization of Polyhedral Norms
- A weighted randomized Kaczmarz method for solving linear systems
- An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems
- Adaptively sketched Bregman projection methods for linear systems
- Phase retrieval via randomized Kaczmarz: theoretical guarantees
- Regularized Kaczmarz Algorithms for Tensor Recovery
This page was built for publication: A weighted randomized sparse Kaczmarz method for solving linear systems