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Deterministic and randomized, row-action and column-action linear solvers have become increasingly popular owing to their simplicity, low computational and memory complexities, and ease of composition with other techniques.
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2003
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Thomas Strohmer and Roman Vershynin, A randomized Kaczmarz algorithm with exponential convergence , Journal of Fourier Analysis and Applications 15
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Dennis Leventhal and Adrian S Lewis, Randomized methods for linear constraints: convergence rates and conditioning , Mathematics of Operations Research 35
2010
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2013
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2016
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Zhong-Zhi Bai and Wen-Ting Wu, On greedy randomized Kaczmarz method for solving large sparse linear systems , SIAM Journal on Scientific Computing 40
2018
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2019
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2019
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2014
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Robert M Gower and Peter Richtárik, Randomized iterative methods for linear systems , SIAM Journal on Matrix Analysis and Applications 36
2015
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Anna Ma, Deanna Needell, and Aaditya Ramdas, Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods , SIAM Journal on Matrix Analysis and Applications 36
2015
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Deanna Needell, Nathan Srebro, and Rachel Ward, Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm , Mathematical Programming 155
2016
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2020
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2020
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Peter Richtárik and Martin Takác, Stochastic reformulations of linear systems: algorithms and convergence theory , SIAM Journal on Matrix Analysis and Applications 41
2020
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2020
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