On best conditioned matrices
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1. Main theorems. Let A be a positive definite Hermitian matrix of finite order, and let A and X be its maximal and minimal eigenvalue respectively. The condition number of A is the ratio P(A) =A/X introduced by Todd [1]. Let 'G be a class of regular linear transformations. Define ATT*A T. We say that A is best conditioned with respect to 'G if P(A T) > P(A) for all TEE T. In order to investigate whether A is best conditioned we remember that
[1] J. Todd,et al. The condition of a certain matrix , 1950, Mathematical Proceedings of the Cambridge Philosophical Society.
[2] D. Young. Iterative methods for solving partial difference equations of elliptic type , 1954 .