This book describes, in a basic way, the most useful and effective
iterative solvers and appropriate preconditioning techniques for
some of the most important classes of large and sparse linear
systems. The solution of large and sparse linear systems is the
most time-consuming part for most of the scientific computing
simulations. Indeed, mathematical models become more and more
accurate by including a greater volume of data, but this requires
the solution of larger and harder algebraic systems. In recent
years, research has focused on the efficient solution of large
sparse and/or structured systems generated by the discretization of
numerical models by using iterative solvers.
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