
The author presents a stochastic analysis for condition numbers of square matrices. The expected condition analysis has desirable properties under scaling transformations, which enables the equilibration of a matrix to be carried out. An optimal scaling enables the best conditioned of all the possible equilibrated matrices to be determined.
Numerical computation of matrix norms, conditioning, scaling, condition matrices, condition numbers, equilibration of a matrix, overdetermined linear systems, scaling transformations
Numerical computation of matrix norms, conditioning, scaling, condition matrices, condition numbers, equilibration of a matrix, overdetermined linear systems, scaling transformations
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