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Block-iterative methods for consistent and inconsistent linear equations
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Parallel Projected Aggregation Methods for Solving the Convex Feasibility Problem
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Column Relaxation Methods for Least Norm Problems
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Row Projection Methods for Large Nonsymmetric Linear Systems
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Row-Action Methods for Huge and Sparse Systems and Their Applications
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The Convergence of Linear Stationary Iterative Processes for Solving Singular Unstructured Systems of Linear Equations
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Multicore Performance of Block Algebraic Iterative Reconstruction Methods
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The Augmented Block Cimmino Distributed Method
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Convergence Properties of the Randomized Extended Gauss--Seidel and Kaczmarz Methods
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A Sampling Kaczmarz--Motzkin Algorithm for Linear Feasibility
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Rows versus Columns: Randomized Kaczmarz or Gauss--Seidel for Ridge Regression
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Convergence of the Randomized Block Gauss-Seidel Method
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A Novel Partitioning Method for Accelerating the Block Cimmino Algorithm
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Randomized Extended Average Block Kaczmarz for Solving Least Squares
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Extensions of the Augmented Block Cimmino Method to the Solution of Full Rank Rectangular Systems
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Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations
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A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations
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Block-Iterative Algorithms with Diagonally Scaled Oblique Projections for the Linear Feasibility Problem
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Iterative algorithms with seminorm‐induced oblique projections
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Preconditioned block Kaczmarz methods for linear equations with an application to computed tomography
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Fisher's method of scoring in statistical image reconstruction: comparison of Jacobi and Gauss-Seidel iterative schemes
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Parallel Optimization Methods
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A Count Sketch Randomized Average Block Kaczmarz Method for Solving Highly Overdetermined Linear Systems
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An Adaptive Deterministic Block Kaczmarz Algorithm Based on Geometrically Smoothed Momentum for Solving Large-Scale Linear Systems
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Weaker assumptions for convergence of extended block Kaczmarz and Jacobi projection algorithms
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Accelerating Random Kaczmarz Algorithm Based on Clustering Information
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Weights in block iterative methods
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Randomized average block iterative methods for solving factorised linear systems
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A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging
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Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques1
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Block Kaczmarz–Motzkin Method via Mean Shift Clustering
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Randomized Average Kaczmarz Algorithm for Tensor Linear Systems
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Ordered Subset Expectation Maximum Algorithms Based on Symmetric Structure for Image Reconstruction
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Choosing the relaxation parameter in sequential block-iterativemethods for linear systems
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Faster free pseudoinverse greedy block Kaczmarz method for image recovery
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A greedy average block Kaczmarz method for the large scaled consistent system of linear equations
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A partially block randomized extended Kaczmarz method for solving large overdetermined inconsistent linear systems
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An efficient variant of the greedy block Kaczmarz algorithm for solving large linear systems
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The maximum residual block Kaczmarz algorithm based on feature selection
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Convergence of a randomized Douglas-Rachford method for linear system
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A class of pseudoinverse-free greedy block nonlinear Kaczmarz methods for nonlinear systems of equations
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On randomized multiple row-action methods for linear feasibility problems
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Solution Methods for Nonsymmetric Linear Systems with Large off-Diagonal Elements and Discontinuous Coefficients
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