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Matrix augmentation and partitioning in the updating of the basis inverse
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Outgoing claims: the papers this work cites, builds on, or argues with.
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C. Forsythe and C. B. Moler, Computer Solution of Linear Algebraic Systems. (Series in Automatic Computation) XI + 148 S. Englewood Cliffs, N.J. 1967. Prentice‐Hall, Inc. Preis geb. 54 s. net
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Sparse Matrices and their Applications
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The Role of Partitioning in the Numerical Solution of Sparse Systems
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Modifying Triangular Factors of the Basis in the Simplex Method
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Reinversion with the preassigned pivot procedure
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On the Bartels—Golub decomposition for linear programming bases
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A sparsity-exploiting variant of the Bartels—Golub decomposition for linear programming bases
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An accuracy test for updating triangular factors
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Generalized upper bounding techniques
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Methods for Modifying Matrix Factorizations
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Optimization Theory of Large Systems
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The simplex method of linear programming using LU decomposition
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The Annals of Mathematical Statistics
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AN EXTENSION OF GENERALIZED UPPER BOUNDED TECHNIQUES FOR LINEAR PROGRAMMING
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Computer Solution of Linear Algebraic Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Alternative Methods for Representing the Inverse of Linear Programming Basis Matrices
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A review of the LU update in the simplex algorithm
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