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Linear Algebra Theory and Applications 2nd Edition by Ward Cheney, David Kincaid ISBN 9781449613532, 1449613535

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Linear Algebra Theory and Applications 2nd Edition Cheney Digital Instant Download

Author(s): Cheney
ISBN(s): 9781449613532, 1449613535
File Details: PDF, 14.82 MB
Year: 2010
Language: english
SKU: EB-56051984 Category: Tag:

Linear Algebra Theory and Applications 2nd Edition by Ward Cheney,  David  Kincaid  – Ebook PDF Instant Download/Delivery: 9781449613532, 1449613535 
Full download Linear Algebra Theory and Applications 2nd Edition after payment

Product details: 

ISBN 10:  1449613535 

ISBN 13: 9781449613532

Author: Ward Cheney,  David R. Kincaid

Ward Cheney and David Kincaid have developed Linear Algebra: Theory and Applications, Second Edition, a multi-faceted introductory textbook, which was motivated by their desire for a single text that meets the various requirements for differing courses within linear algebra. For theoretically-oriented students, the text guides them as they devise proofs and deal with abstractions by focusing on a comprehensive blend between theory and applications. For application-oriented science and engineering students, it contains numerous exercises that help them focus on understanding and learning not only vector spaces, matrices, and linear transformations, but also how software tools are used in applied linear algebra. Using a flexible design, it is an ideal textbook for instructors who wish to make their own choice regarding what material to emphasize, and to accentuate those choices with homework assignments from a large variety of exercises, both in the text and online.

Table of contents: 

  1. Systems of Linear Equations

  2. Vector Spaces

  3. Matrix Operations

  4. Determinants

  5. Vector Subspaces

  6. Eigensystems

  7. Inner-Product Vector Spaces

  8. Additional Topics

  9. Deductive Reasoning and Proofs

  10. Complex Arithmetic

  11. Answers/Hints for General Exercises

  12. References

  13. Index

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Tags: Ward Cheney, David Kincaid, Linear Algebra, Theory and Applications