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Linear algebra and its applications 5th Edition by David Lay, Steven, Judi McDonald ISBN 032198238X 9780321982384

  • SKU: BELL-21986298
Linear algebra and its applications 5th Edition by David Lay, Steven, Judi McDonald ISBN 032198238X 9780321982384
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Linear algebra and its applications 5th Edition by David Lay, Steven, Judi McDonald ISBN 032198238X 9780321982384 instant download after payment.

Publisher: Pearson; Mtm
File Extension: PDF
File size: 21.18 MB
Pages: 576
Author: Lay, David C.; Lay, Steven R.; McDonald, Judith
ISBN: 9781292092232, 1292092238
Language: English
Year: 2015

Product desciption

Linear algebra and its applications 5th Edition by David Lay, Steven, Judi McDonald ISBN 032198238X 9780321982384 by Lay, David C.; Lay, Steven R.; Mcdonald, Judith 9781292092232, 1292092238 instant download after payment.

Linear algebra and its applications 5th Edition by David Lay, Steven, Judi McDonald - Ebook PDF Instant Download/Delivery: 032198238X 9780321982384

Full download Linear algebra and its applications 5th Edition after payment

 

Product details:

ISBN 10: 032198238X

ISBN 13: 9780321982384

Author: David Lay, Steven, Judi McDonald 

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide.

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 Rn 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

Table of contents:

Chapter 1 – Linear Equations in Linear Algebra
Chapter 2 – Matrix Algebra
Chapter 3 – Determinants
Chapter 4 – Vector Spaces
Chapter 5 – Eigenvalues and Eigenvectors
Chapter 6 – Orthogonality and Least Squares
Chapter 7 – Symmetric Matrices and Quadratic Forms
Chapter 8 – The Geometry of Vector Spaces
Chapter 9 – Optimization (Online)
Chapter 10 – Finite-State Markov Chains (Online)

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

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