Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering
David E. Keyes, Youcef Saad, Donald G. Trular, David E. Keyes, Yousef Saad, David E Keyes, Donald G Truhlar
Häftad, 1995
1 469 kr
Del i serien Classics in Applied Mathematics
Numerical Methods for Large Eigenvalue Problems
Häftad, Engelska, 2011
1 289 kr
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This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi—Davidson method, and automatic multilevel substructuring.
Produktinformation
- Utgivningsdatum2011-06-30
- Mått154 x 226 x 17 mm
- Vikt412 g
- FormatHäftad
- SpråkEngelska
- SerieClassics in Applied Mathematics
- Antal sidor292
- FörlagSociety for Industrial & Applied Mathematics,U.S.
- ISBN9781611970722
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