This volume contains the latest developments in the use of iterative
methods to block Toeplitz systems. These systems arise in a variety of
applications in mathematics, scientific computing, and engineering, such
as image processing, numerical differential equations and integral
equations, time series analysis, and control theory. Iterative methods
such as Krylov subspace methods and multigrid methods are proposed to
solve block Toeplitz systems. One of the main advantages of these
iterative methods is that the operation cost of solving a large class of
mn × mn block Toeplitz systems only requires O (mn log mn)
operations.
This book is the first book on Toeplitz iterative solvers and it
includes recent research results. The author belongs to one of the most
important groups in the field of structured matrix computation. The book
is accessible to readers with a working knowledge of numerical linear
algebra. It should be of interest to everyone who deals with block
Toeplitz systems, numerical linear algebra, partial differential
equations, ordinary differential equations, image processing, and
approximation theory.