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LU decompositions of generalized diagonally dominant matrices
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1538-7305.1981.tb00255.xopenalex-snapshot
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LU decomposition of M-matrices by elimination without pivoting
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Nonnegative Matrices in the Mathematical Sciences
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Computable Error Bounds for Aggregated Markov Chains
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A comparison of numerical techniques in Markov modeling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Entrywise perturbation theory and error analysis for Markov chains
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Backward error analysis for linear systems associated with inverses ofH-matrices
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Queueing models, block hessenberg matrices and the method of neuts
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Interval linear systems: the state of the art
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Pivoting strategies leading to diagonal dominance by rows
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Stable LU factorization of H-matrices
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Linear systems with Ω-diagonally dominant matrices and related ones
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Multi-zone dispersal analysis by element assembly
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Componentwise analysis of direct factorization of real symmetric and hermitian matrices
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Gaussian elimination for the solution of linear systems of equations
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TheL-dominance concept and its applications to multivariable system designs
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Modeling and analysis of communication systems based on computational methods for Markov chains
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A Combined Direct-Iterative Method for Certain M -Matrix Linear Systems
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$LU$-Decompositions of Tridiagonal Irreducible H -Matrices
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A Stable Method for the $LU$ Factorization of M -Matrices
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On the Smallest Positive Singular Value of a Singular M -Matrix with Applications to Ergodic Markov Chains
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A New Criterion to Guarantee the Feasibility of the Interval Gaussian Algorithm
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Bordered Matrices, Singular Systems, and Ergodic Markov Chains
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Relative Perturbation Theory for Diagonally Dominant Matrices
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