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An accelerated randomized Kaczmarz algorithm

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Introductory Lectures on Convex Optimization
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Fundamentals of Computerized Tomography
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Characterization of the solutions set of inconsistent least-squares problems by an extended Kaczmarz algorithm
inferredcites →https://doi.org/10.1007/s00041-008-9030-4openalex-snapshot
A Randomized Kaczmarz Algorithm with Exponential Convergence
inferredcites →https://doi.org/10.1007/s10543-010-0265-5openalex-snapshot
Randomized Kaczmarz solver for noisy linear systems
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Acceleration of randomized Kaczmarz method via the Johnson–Lindenstrauss Lemma
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On the rate of convergence of the alternating projection method in finite dimensional spaces
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Component averaging: An efficient iterative parallel algorithm for large and sparse unstructured problems
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Numerical optimization
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Introduction to the non-asymptotic analysis of random matrices
inferredcites →https://doi.org/10.1137/100802001openalex-snapshot
Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
inferredcites →https://doi.org/10.1137/120889897openalex-snapshot
Randomized Extended Kaczmarz for Solving Least Squares
inferredcites →https://doi.org/10.1201/9780203492543.ch9openalex-snapshot
Image Reconstruction from Projections
inferredcites →https://doi.org/10.1287/moor.1100.0456openalex-snapshot
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
inferredcites →https://doi.org/10.6028/jres.049.027openalex-snapshot
On approximate solutions of systems of linear inequalities

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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