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Lorenz, D.A., Wenger, S., Schöpfer, F. and Magnor, M. (2014) A Sparse Kaczmarz Solver and A Linearized Bergman Method for Onlinear Compressed Sensing. 2014 IEEE International Conference on Image Processing (ICIP), Parise, France, 27-30 October 2014, 1347-1351.
https://doi.org/10.1109/ICIP.2014.7025269

has been cited by the following article:

• TITLE: A Geometric Gaussian Kaczmarz Method for Large Scaled Consistent Linear Equations

  AUTHORS: Li Wen, Feng Yin, Yimou Liao, Guangxin Huang

  KEYWORDS: Gaussian Kaczmarz, Convergence Rate, Linear Systems, Consistent

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.9 No.11, November 26, 2021

  ABSTRACT: This paper presents a geometric Gaussian Kaczmarz (GGK) method for solving the large-scaled consistent linear systems of equation. The GGK method improves the geometric probability randomized Kaczmarz method in [1] by introducing a new block set strategy and the iteration process. The GGK is proved to be of linear convergence. Several numerical examples show the efficiency and effectiveness of the GGK method.