Linear Algebra and Its Applications 6th edition by David Lay, Steven Lay, Judi McDonald 1292351217‎ 978-1292351216

Linear Algebra and Its Applications 6th edition by David Lay, Steven Lay, Judi McDonald – Ebook PDF Instant Download/DeliveryISBN:  1292351217,‎ 978-1292351216 

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Product details:

ISBN-10 ‏ : ‎ 1292351217

ISBN-13 ‏ : ‎ 978-1292351216

Author:  David Lay, Steven Lay, Judi McDonald

Fosters the concepts and skillsneeded for future careers

Linear Algebra and ItsApplications offers a modern elementary introduction with broad, relevantapplications. With traditional texts, the early stages of the course arerelatively easy as material is presented in a familiar, concrete setting, butstudents often hit a wall when abstract concepts are introduced. Certainconcepts fundamental to the study of linear algebra (such as linearindependence, vector space, and linear transformations) require time toassimilate ― and students’ understanding of them is vital.

Lay, Lay, and McDonald make theseconcepts more accessible by introducing them early in a familiar, concrete ℝⁿ setting, developing them gradually, and returning to themthroughout the text so that students can grasp them when they are discussed inthe abstract. The 6th Edition offers exciting new material, examples,and online resources, along with new topics, vignettes, and applications.

 

 Linear Algebra and Its Applications 6th Table of contents:

1. Fundamentals.

2. Duality.

3. Linear Mappings.

4. Matrices.

5. Determinant and Trace.

6. Spectral Theory.

7. Euclidean Structure.

8. Spectral Theory of Self-Adjoint Mappings.

9. Calculus of Vector- and Matrix-Valued Functions.

10. Matrix Inequalities.

11. Kinematics and Dynamics.

12. Convexity.

13. The Duality Theorem.

14. Normed Linear Spaces.

15. Linear Mappings Between Normed Linear Spaces.

16. Positive Matrices.

17. How to Solve Systems of Linear Equations.

18. How to Calculate the Eigenvalues of Self-Adjoint Matrices.

19. Solutions.

 

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Tags: Linear Algebra, Applications, David Lay, Steven Lay, Judi McDonald