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Numerical linear algebra with applications : using MATLAB /

Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains all the material necessary for a first year graduate or advanced undergraduate course on numerical l...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ford, William H. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, 2015.
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Numerical linear algebra with applications :  |b using MATLAB /  |c by William Ford. 
250 |a First edition. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (xxvi, 602 pages) 
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500 |a Includes index. 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
520 |a Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. It provides necessary mathematical background information for. 
505 0 |a 1. Matrices -- 2. Linear equations -- 3. Subspaces -- 4. Determinants -- 5. Eigenvalues and eigenvectors -- 6. Orthogonal vectors and matrices -- 7. Vector and matrix norms -- 8. Floating point arithmetic -- 9. Algorithms -- 10. Conditioning of problems and stability of algorithms -- 11. Gaussian elimination and the LU decomposition -- 12. Linear system applications -- 13. Important special systems -- 14. Gram-Schmidt orthonormalization -- 15. The singular value decomposition -- 16. Least-square problems -- 17. Implementing the QR decomposition -- 18. The algebraic eigenvalue problem -- 19. The symmetric eigenvalue problem -- 20. Basic iterative methods -- 21. Krylov subspace methods -- 22. Large sparse eigenvalue problems -- 23. Computing the singular value decomposition -- A. Complex numbers -- B. Mathematical induction -- C. Chebyshev polynominals. 
546 |a English. 
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630 0 0 |a MATLAB. 
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650 0 |a Algebras, Linear. 
650 0 |a Numerical calculations. 
650 6 |a Algèbre linéaire. 
650 6 |a Calculs numériques. 
650 7 |a MATHEMATICS  |x Algebra  |x Intermediate.  |2 bisacsh 
650 7 |a Algebras, Linear.  |2 fast  |0 (OCoLC)fst00804946 
650 7 |a Numerical calculations.  |2 fast  |0 (OCoLC)fst01041288 
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