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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

Since the first edition of this book was published in 1996, tremendous progress has been removed or shortened, numerous exercises have been corrected. The updated and expanded bibliography now includes more recent works emphasizing new and important research topics in this field.

Audience
This book can be used for either a semester- or quarter-length course in both mathematics and computer science.

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. 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. 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 of unknowns.

The updated and expanded bibliography now includes more recent works emphasizing new and important research topics in this field.

Audience
This book can be used for either a semester- or quarter-length course in both mathematics and computer science.

 

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