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A Second Course in Linear Algebra Vital Source e-bog
Stephan Ramon Garcia og Roger A. Horn
(2017)
Cambridge University Press
590,00 kr.
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A Second Course in Linear Algebra
Stephan Ramon Garcia og Roger A. Horn
(2017)
Sprog: Engelsk
Cambridge University Press
787,00 kr.
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Detaljer om varen
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Cambridge University Press (Maj 2017)
- Forfattere: Stephan Ramon Garcia og Roger A. Horn
- ISBN: 9781108215909
Linear algebra is a fundamental tool in many fields, including mathematics and statistics, computer science, economics, and the physical and biological sciences. This undergraduate textbook offers a complete second course in linear algebra, tailored to help students transition from basic theory to advanced topics and applications. Concise chapters promote a focused progression through essential ideas, and contain many examples and illustrative graphics. In addition, each chapter contains a bullet list summarising important concepts, and the book includes over 600 exercises to aid the reader's understanding. Topics are derived and discussed in detail, including the singular value decomposition, the Jordan canonical form, the spectral theorem, the QR factorization, normal matrices, Hermitian matrices (of interest to physics students), and positive definite matrices (of interest to statistics students).
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Hardback: 442 sider
- Udgiver: Cambridge University Press (Maj 2017)
- Forfattere: Stephan Ramon Garcia og Roger A. Horn
- ISBN: 9781107103818
Linear algebra is a fundamental tool in many fields, including mathematics and statistics, computer science, economics, and the physical and biological sciences. This undergraduate textbook offers a complete second course in linear algebra, tailored to help students transition from basic theory to advanced topics and applications. Concise chapters promote a focused progression through essential ideas, and contain many examples and illustrative graphics. In addition, each chapter contains a bullet list summarising important concepts, and the book includes over 600 exercises to aid the reader's understanding. Topics are derived and discussed in detail, including the singular value decomposition, the Jordan canonical form, the spectral theorem, the QR factorization, normal matrices, Hermitian matrices (of interest to physics students), and positive definite matrices (of interest to statistics students).
Preliminaries;
1. Vector spaces;
2. Bases and similarity;
3. Block matrices;
4. Inner product spaces;
5. Orthonormal vectors;
6. Unitary matrices;
7. Orthogonal complements and orthogonal projections;
8. Eigenvalues, eigenvectors, and geometric multiplicity;
9. The characteristic polynomial and algebraic multiplicity;
10. Unitary triangularization and block diagonalization;
11. Jordan canonical form;
12. Normal matrices and the spectral theorem;
13. Positive semidefinite matrices;
14. The singular value and polar decompositions;
15. Singular values and the spectral norm;
16. Interlacing and inertia; Appendix A. Complex numbers.
1. Vector spaces;
2. Bases and similarity;
3. Block matrices;
4. Inner product spaces;
5. Orthonormal vectors;
6. Unitary matrices;
7. Orthogonal complements and orthogonal projections;
8. Eigenvalues, eigenvectors, and geometric multiplicity;
9. The characteristic polynomial and algebraic multiplicity;
10. Unitary triangularization and block diagonalization;
11. Jordan canonical form;
12. Normal matrices and the spectral theorem;
13. Positive semidefinite matrices;
14. The singular value and polar decompositions;
15. Singular values and the spectral norm;
16. Interlacing and inertia; Appendix A. Complex numbers.
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