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Note publique d'information : Since the first edition of this book was published in 1996, tremendous progress has
been made in the scientific and engineering disciplines regarding the use of iterative
methods for linear systems. The size and complexity of the new generation of linear
and nonlinear systems arising in typical applications has grown. Solving the three-dimensional
models of these problems using direct solvers is no longer effective. At the same
time, parallel computing has penetrated these application areas as it became less
expensive and standardized. Iterative methods are easier than direct solvers to implement
on parallel computers but require approaches and solution algorithms that are different
from classical methods. Iterative Methods for Sparse Linear Systems, Second Edition
gives an in-depth, up-to-date view of practical algorithms for solving large-scale
linear systems of equations. These equations can number in the millions and are sparse
in the sense that each involves only a small number of unknowns. The methods described
are iterative, i.e., they provide sequences of approximations that will converge to
the solution.
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