Numerical methods large eigenvalue par saad yousef (17 résultats)

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Paperback. Etat : New. Revised Edition. 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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.Significant changes have been made to Chapters 6 through 8, which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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Etat : New. 2011. Revised. paperback. . . . . .

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Paperback. Etat : Brand New. revised edition. 276 pages. 8.75x6.00x0.75 inches. In Stock.

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Etat : New. pp. 340.

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Etat : New. 2011. Revised. paperback. . . . . . Books ship from the US and Ireland.

Etat : New. pp. 340 Revised Edition.

Kartoniert / Broschiert. Etat : New. &Uumlber den AutorYousef Saad is a College of Science and Engineering Distinguished Professor in the Department of Computer Science at the University of Minnesota. His current research interests include numerical linear algebra, sparse .

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Taschenbuch. Etat : Neu. Neuware - 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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.Significant changes have been made to Chapters 6 through 8, which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 JacobiDavidson method, and automatic multilevel substructuring.…

Paperback. Etat : New. Revised Edition. 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.…