Numerical methods for large eigenvalue problems
by Saad, Y.
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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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 th…
Read More ↓Title Statements
- Full title :Numerical methods for large eigenvalue problems / Yousef Saad.
Summary
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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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.
Read More ↓Edition Statements
- Publication Date:2011.
- Edition:Rev. ed
Publication Statements
- Publisher(s):Society for Industrial and Applied Mathematics
- Place of Publication:Philadelphia, Pa
- Language:eng
- Publication Date:2011.
The Physical Object
- Description:Online-Ressource (1 electronic Text xvi, 276 Seiten).
Edition Identifiers
- ISBN:9781611970722, 1611970725
- DOI:10.1137/1.9781611970739
- oclc:ocn775728988
- LC Classification:QA188
- Dewey Decimal:512.9/436
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