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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London ; San Diego, CA :
Academic Press,
2015.
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Edición: | First edition. |
Temas: | |
Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- 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.