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Conjugate direction methods for solving systems of linear equations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1093/qjmam/1.1.149openalex-snapshot
NOTES ON THE SOLUTION OF ALGEBRAIC LINEAR SIMULTANEOUS EQUATIONS
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THE THEORY OF MATRICES IN NUMERICAL ANALYSIS
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Terminating and Nonterminating Iterations for Solving Linear Systems
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Calculating the Singular Values and Pseudo-Inverse of a Matrix
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The Theory of Matrices in Numerical Analysis.
inferredcites →https://doi.org/10.6028/jres.045.026openalex-snapshot
An iteration method for the solution of the eigenvalue problem of linear differential and integral operators
inferredcites →https://doi.org/10.6028/jres.049.044openalex-snapshot
Methods of conjugate gradients for solving linear systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Generalization of conjugate direction methods in the optimization of functions
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Generalization of conjugate direction methods in the optimization of functions
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Semi-Conjugate Direction Methods for Real Positive Definite Systems
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Multiplying and Factoring Matrices
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Evolutionary Multitasking with Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization
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The conjugate gradient method as applied to electromagnetic field problems
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Biconjugate direction methods in Krylov subspaces
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Changing the Norm in Conjugate Gradient Type Algorithms
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A Direct Projection Method for Sparse Linear Systems
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Some History of the Conjugate Gradient and Lanczos Algorithms: 1948–1976
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A Rank–One Reduction Formula and Its Applications to Matrix Factorizations
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