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Numerical Methods for Large Eigenvalue Problems, Revised Edition

  • Category: Computer
  • Author: Yousef Saad
  • Pages: 292 pages
  • File type: Online, PDF files

Read and download free eBook intituled Numerical Methods for Large Eigenvalue Problems, Revised Edition in format Online, PDF files – 292 pages created by Yousef Saad.

This book is intended for researchers in applied mathematics and scientific computing as well as for practitioners interested in understanding the theory of numerical methods used for eigenvalue problems. It also can be used as a supplemental text for an advanced graduate-level course on these methods.

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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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.

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Numerical Methods for Large Eigenvalue Problems, Revised Edition

READ  Lecture Notes for the Algorithms

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