Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.
Home
> Subjects
> Linear Algebra

Linear Algebra

Authors

Elizabeth S. Meckes, Case Western Reserve University, Ohio, Mark W. Meckes, Case Western Reserve University, Ohio
Published 2018

Description

Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for classes with a mix of mathematics, physics, engineering, and computer science students. Major topics include singular value decomposition, the spectral theorem, linear systems of equations, vector spaces, linear maps, matrices, eigenvalues and eigenvectors, linear independence, bases, coordinates, dimension, matrix factorizations, inner products, norms, and determinants.

  • Get access
  • Add bookmark
  • Cite
  • Share

Key features

  • Introduces central topics, such as vector spaces, linear maps, linear dependence and eigenvalues early in the book with the aim of helping students transition from calculus to rigorous mathematics
  • Motivates the reader whilst introducing new topics, definitions, and appropriate examples in connection with the core concepts presented early in the text so that students will be able to go back to these vital notions and, by the time the course ends, will have worked with them extensively
  • Includes many pedagogical features, such as: 'Quick Exercises' throughout with answers upside-down at the bottom of the page; periodic 'Perspectives' that collect various viewpoints on particular topics developed throughout the text; and numerous in-text examples, end-of-chapter exercises, and hints and answers to selected problems at the end of the book

About the book

Access options

Review the options below to login to check your access.

Purchase options

There are no purchase options available for this title.

Have an access code?

To redeem an access code, please log in with your personal login.

Log in

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers

Related content

AI generated results by Discovery for publishers [opens in a new window]

About Contact and help Publish with us Accessibility Legal notices
Join us online
For research journals and books visit Cambridge Core [Opens in a new window]
© Cambridge University Press 2024