# Numerical linear algebra with applications :

Ford, William.

Numerical linear algebra with applications : - 1st edition. - London ; San Diego, CA : Academic Press, ©2015 - 602 pages

includes index

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.

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.

9780123944351

Algebras, Linear.

Numerical calculations.

MATLAB.

512.5 / FOR

Numerical linear algebra with applications : - 1st edition. - London ; San Diego, CA : Academic Press, ©2015 - 602 pages

includes index

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.

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.

9780123944351

Algebras, Linear.

Numerical calculations.

MATLAB.

512.5 / FOR