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Iterative Methods for Sparse Linear Systems, Second Edition

Iterative Methods for Sparse Linear Systems, Second Edition
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Additional Iterative Methods for Sparse Linear Systems, Second Edition Information

Material on older topics has been removed or shortened, numerous exercises have

Engineers and mathematicians will find its contents easily accessible, and practitioners and educators will value it as a helpful resource. Solving the three-dimensional models of these problems using direct solvers to implement on parallel computers but require approaches and solution algorithms that are different from classical methods.

At the same time, parallel computing has penetrated these application areas as it became less expensive and standardized.

Since the first edition of this book was published in 1996, tremendous progress has been made in the sense that each involves only a small number

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. The updated and expanded bibliography now includes more recent works emphasizing new and important research topics in this field. 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 updated and expanded bibliography now includes more recent works emphasizing new and important research topics in this field. 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 updated and expanded bibliography now includes more recent works emphasizing new and important research topics in this field. The preface includes syllabi that can be used to teach graduate-level courses on iterative methods for linear systems. The size and complexity of the new generation of linear and nonlinear systems arising in typical applications has grown.

The author has added a new chapter on multigrid techniques and has updated material throughout the text, particularly the chapters on sparse matrices, Krylov subspace methods, preconditioning techniques, and parallel preconditioners.

Audience
This book can be used to teach graduate-level courses on iterative methods for linear systems.

Engineers and mathematicians will find its contents easily accessible, and practitioners and educators will value it as a helpful resource. Iterative methods are easier than direct solvers to implement on parallel computers but require approaches and solution algorithms that are different from classical methods.

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 is no longer effective.

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 scientific and engineering disciplines regarding the use of iterative methods for linear systems.

 

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