Book details

ISBN-13:
9780321982650

ISBN-10:
0321982657

Edition:
5

Author:
David C. Lay, Steven R. Lay, Judi J. McDonald
Publication date:
2015

Publisher:
Pearson

Format:
Loose Leaf
584 pages
Category:
Algebra
,
Mathematics

Acknowledged authors
David C. Lay
,
Steven R. Lay
,
Judi J. McDonald
wrote Linear Algebra and Its Applications, Books a la Carte Edition (5th Edition)
comprising 584 pages back in 2015.
Textbook and eTextbook are published under ISBN 0321982657 and 9780321982650.
Since then Linear Algebra and Its Applications, Books a la Carte Edition (5th Edition) textbook
was available to sell back to BooksRun online for the top buyback price
of $ 10.38 or rent at the marketplace.

**NOTE: **This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value—this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.

**xxxxxxxxxxxxxxx**

For courses in linear algebra.

With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject. **This text** makes these concepts more accessible by introducing them early in a familiar, concrete *R ^{n}* setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand.

**Also available with MyMathLab **

MyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. MyMathLab includes assignable algorithmic exercises, the complete eBook, interactive figures, tools to personalize learning, and more.

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