A stable method for the LU factorization of M-matrices
SIAM Journal on Algebraic and Discrete Methods
The algebraic eigenvalue problem
The algebraic eigenvalue problem
Computing accurate eigensystems of scaled diagonally dominant matrices
SIAM Journal on Numerical Analysis
Accurate singular values of bidiagonal matrices
SIAM Journal on Scientific and Statistical Computing
Computer networks and systems: queueing theory and performance evaluation
Computer networks and systems: queueing theory and performance evaluation
On accurate computations of the Perron root
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications
Computing the Smallest Eigenvalue of an M-Matrix
SIAM Journal on Matrix Analysis and Applications
Matrix computations (3rd ed.)
Elementary Numerical Analysis: An Algorithmic Approach
Elementary Numerical Analysis: An Algorithmic Approach
Matrix-geometric algorithms for stochastic fluid flows
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Matrix-geometric algorithms for stochastic fluid flows
SMCtools '06 Proceeding from the 2006 workshop on Tools for solving structured Markov chains
Alternating-directional Doubling Algorithm for $M$-Matrix Algebraic Riccati Equations
SIAM Journal on Matrix Analysis and Applications
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If each off-diagonal entry and the sum of each row of a diagonally dominant M-matrix are known to certain relative accuracy, then its smallest eigenvalue and the entries of its inverse are known to the same order relative accuracy independent of any condition numbers. In this paper, we devise algorithms that compute these quantities with relative errors in the magnitude of the machine precision. Rounding error analysis and numerical examples are presented to demonstrate the numerical behaviour of the algorithms.