| Description |
1 online resource (xiii, 618 pages) : illustrations |
| Series |
Pure and applied mathematics |
|
Pure and applied mathematics (John Wiley & Sons : Unnumbered)
|
| Contents |
1. Gaussian elimination and its variants -- 2. Sensitivity of linear systems -- 3. The least squares problems -- 4. The singular value decomposition -- 5. Eigenvalues and eigenvectors 1 -- 6. Eigenvalues and eigenvectors 2 -- 7. Iterative methods for linear systems |
| Summary |
A significantly revised and improved introduction to a critical aspect of scientific computationMatrix computations lie at the heart of most scientific computational tasks. For any scientist or engineer doing large-scale simulations, an understanding of the topic is essential. Fundamentals of Matrix Computations, Second Edition explains matrix computations and the accompanying theory clearly and in detail, along with useful insights.This Second Edition of a popular text has now been revised and improved to appeal to the needs of practicing scientists and graduate and advanced undergrad |
| Analysis |
ER Internet Book Full text |
|
FACsci |
|
Mathematics (general) |
| Bibliography |
Includes bibliographical references (pages 605-610) and indexes |
| Notes |
Print version record |
| Subject |
Mathematics.
|
|
Least-Squares Analysis.
|
|
Matrices.
|
| Form |
Electronic book
|
| ISBN |
0471213942 (acid-free paper) |
|
0471249718 (electronic bk.) |
|
0471461679 (electronic bk.) |
|
9780471213949 (acid-free paper) |
|
9780471249719 (electronic bk.) |
|
9780471461678 (electronic bk.) |
|
