A class of residual-based extended Kaczmarz methods for solving inconsistent linear systems
From MaRDI portal
Publication:2161070
DOI10.1016/j.cam.2022.114529zbMath1495.65055OpenAlexW4283372154WikidataQ114201749 ScholiaQ114201749MaRDI QIDQ2161070
Zhonglu Lv, Weiguo Li, Wen-Di Bao, Fei-Yu Zhang
Publication date: 4 August 2022
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2022.114529
Numerical solutions to overdetermined systems, pseudoinverses (65F20) Iterative numerical methods for linear systems (65F10)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Randomized Kaczmarz solver for noisy linear systems
- A randomized Kaczmarz algorithm with exponential convergence
- Extensions of block-projections methods with relaxation parameters to inconsistent and rank-deficient least-squares problems
- On convergence rate of the randomized Kaczmarz method
- On relaxed greedy randomized Kaczmarz methods for solving large sparse linear systems
- Convergence rates of the Kaczmarz-Tanabe method for linear systems
- On maximum residual block and two-step Gauss-Seidel algorithms for linear least-squares problems
- A note on convergence rate of randomized Kaczmarz method
- On partially randomized extended Kaczmarz method for solving large sparse overdetermined inconsistent linear systems
- Correction to: ``Convergence rates for Kaczmarz-type algorithms
- Randomized Extended Kaczmarz for Solving Least Squares
- The university of Florida sparse matrix collection
- Least-squares solution of overdetermined inconsistent linear systems using kaczmarz's relaxation
- A Matrix Inequality
This page was built for publication: A class of residual-based extended Kaczmarz methods for solving inconsistent linear systems