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On certain iterative methods for solving linear systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1137/0106012openalex-snapshot
A Class of Methods for Inverting Matrices
inferredcites →https://doi.org/10.1145/320932.320933openalex-snapshot
The Approximate Solution of Matrix Problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Algorithms for Linear Least Squares Problems
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Incomplete oblique projections for solving large inconsistent linear systems
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Convergence acceleration of Kaczmarz’s method
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Acceleration by aggregation of successive approximation methods
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Iterative picture restoration using video optical feedback
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METHODS FOR SPARSE LINEAR LEAST SQUARES PROBLEMS
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On the generally randomized extended Gauss-Seidel method
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A projection method for semidefinite linear systems and its applications
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Multigrid methods for anisotropic BTTB systems
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Multiparameter descent methods
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A superlinearly convergent projection algorithm for solving the convex inequality problem
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A class of optimized row projection methods for solving large nonsymmetric linear systems
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Acceleration procedures for matrix iterative methods
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Méthodes de projection-minimisation pour les problèmes linéaires
inferred← citeshttps://doi.org/10.1080/00029890.1964.11992291openalex-snapshot
On the Inequality of Kantorovich
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The Kantorovich Inequality
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Stronger forms of a class of inequalities of G. Pólya-G. Szegö, and L. V. Kantorovich
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A Class of Linear Transformations Which Can be Written as the Product of Projections
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On General Iterative Methods for the Solutions of a Class of Nonlinear Operator Equations
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Parallel Projected Aggregation Methods for Solving the Convex Feasibility Problem
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Some History of the Conjugate Gradient and Lanczos Algorithms: 1948–1976
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GEOMETRIC INSIGHTS INTO ROBUST PORTFOLIO CONSTRUCTION
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Comparison of the Variance of Minimum Variance and Weighted Least Squares Regression Coefficients
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Geometric insights into robust portfolio construction
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MATHEMATICS PANEL ANNUAL PROGRESS REPORT FOR PERIOD ENDING DECEMBER 31, 1960
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Extensions of incomplete oblique projections method for solvingrank-deficient least-squares problems
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Convergence acceleration of Kaczmarz's method
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From Sylvester's determinant identity to Cramer's rule
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