Hands-on matrix algebra using R : active and motivated learning with applications / Hrishikesh D. Vinod.
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TextPublication details: Singapore : World Scientific, ©2011.Description: xvii, 329 p. : ill. ; 23 cmISBN: - 9789814313698
- 512.9434 23 V788
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 512.9434 V788 (Browse shelf(Opens below)) | Available | 137468 |
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| 512.9434 V297 Matrix iterative analysis | 512.9434 V341 Propagation of singularities in three-body scattering | 512.9434 V594 Matrix methods of structural analysis | 512.9434 V788 Hands-on matrix algebra using R : | 512.9434 V919 Multiparameter eigenvalue problems and expansion theorems | 512.9434 W335 Matrix eigenvalue problem | 512.9434 W335 Fundamentals of matrix computations |
Includes bibliographical references and index.
1. R preliminaries --
2. Elementary geomentary geometry and algebra using R --
3. Vector spaces --
4. Matrix basics and R software --
5. Decision applications, payoff matrix --
6. Determinant and singularity of a square matrix --
7. The norm, rank and trace of a matrix --
8. Matrix inverse and solution of linear equations --
9. Eigenvalues and eigenvectors --
10. Similar matrices, quadratic and Jordan canonical forms --
11. Hermitian, normal and positive define matrices --
12. Kronecker products and singular value decomposition --
13. Simultaneous reduction and vec stacking --
14. Vector and matrix differentiation --
15. Matrix results for statistics --
16. Generalized inverse and patterned matrices --
17. Numerical accuracy and QR decomposition.
Teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. This book provides a comprehensive overview of matrix theory without being bogged down in proofs or tedium.
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