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0 reviewsUnique features of Eigenvalues of Matrices, Revised Edition
include the convergence of eigensolvers serving as the basis of the
notion of the gap between invariant subspaces, its coverage of the
impact of the high nonnormality of the matrix on its eigenvalues, and
the comprehensive nature of the material that moves beyond mathematical
technicalities to the essential mean carried out by matrix eigenvalues.
The author has added a new chapter that uncovers
reasons why matrices are even more fundamental tools than vectors for
the information processing that takes place during the dynamical
evolution of systems. Some of these ideas appear in print for the first
time.