Numerical Methods for Large Eigenvalue Problems (Classics in Applied Mathematics): 66 (Classics in Applied Mathematics, Series Number 66) - Image 1

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Society for Industrial and Applied Mathematics (SIAM) Numerical Methods for Large Eigenvalue Problems (Classics in Applied Mathematics): 66 (Classics in Applied Mathematics, Series Number 66)

Name: Numerical Methods for Large Eigenvalue Problems (Classics in Applied Mathematics): 66 (Classics in Applied Mathematics, Series Number 66)
Brand: Society for Industrial and Applied Mathematics (SIAM)
Price: 61.39 GBP
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Algebra

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Description

This revised edition discusses numerical methods for computing the 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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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.

Product Specifications

Brand: Society for Industrial and Applied Mathematics (SIAM)
Format: paperback
ASIN: 1611970725
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Algebra
Domain: Amazon UK
Release Date: 26 May 2011
Listed Since: 20 April 2011

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Society for Industrial and Applied Mathematics (SIAM) Numerical Methods for Large Eigenvalue Problems (Classics in Applied Mathematics): 66 (Classics in Applied Mathematics, Series Number 66)

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