This book provides a systematic and unifying treatment of the spectral
analysis of matrix sequences collecting the state of the art of the
research in this field and providing new advanced results which are
interesting both from the theoretical and from the algorithmic point of
view. The first part concerns the description and analysis of the
available tools, together with their generalization including the
development of new effective tools of analysis. The basic concept of
"approximating class of sequences" is introduced and analyzed in depth.
Some new results of great interest have been obtained and applied to
Toeplitz sequences. The classes of g-circulant and g-Toeplitz matrix
sequences are introduced as well, and their spectral analysis is carried
out. The second part is addressed to applications. It contains new and
interesting results. A relevant role is played by the preconditioning of
g-Toeplitz matrix sequences by means of g-circulant matrices with a
specific attention to the regularizing properties which take their
importance in the applications concerning image processing, filtering
and restoration. Another application concerns two-grid and multi-grid
techniques.