Linear Algebra and Its Applications (5th Edition)

$19.99

Download Linear Algebra and Its Applications (5th Edition) written by David C. Lay, Steven R. Lay, Judi J. McDonald in PDF format. This book is under the category Mathematics and bearing the isbn/isbn13 number 032198238X/9780321982384. You may reffer the table below for additional details of the book.

SKU: 7efa7f5db79d Category: Tag:

Specifications

book-author

David C. Lay, Steven R. Lay, Judi J. McDonald

publisher

Pearson; 5th edition

file-type

PDF

pages

576 pages

language

English

asin

B00XIHIO6E

isbn10

032198238X

isbn13

9780321982384


Book Description

With traditional linear algebra textbooks; the course is relatively easy for most of the students during the early stages as material is presented in a familiar; concrete setting. However; when abstract concepts are introduced; college students often hit a wall. Instructors seem to agree that certain concepts (such as spanning; linear independence; vector space; subspace; and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra; so college students’ understanding of them is vital to mastering the subject. This etextbook; Linear Algebra and Its Applications 5th edition (PDF) makes these concepts more accessible by introducing them early in a familiar; concrete Rn setting; developing them gradually; and returning to them throughout the textbook so that when they are discussed in the abstract; all students are readily able to understand.

Note: This only includes the Linear Algebra and Its Applications 5e PDF. No online codes are included with the purchase

Additional information

book-author

David C. Lay, Steven R. Lay, Judi J. McDonald

publisher

Pearson; 5th edition

file-type

PDF

pages

576 pages

language

English

asin

B00XIHIO6E

isbn10

032198238X

isbn13

9780321982384

Table of contents


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
Appendix A: Uniqueness of the Reduced Echelon Form
Appendix B: Complex Numbers

Recent Posts

5 tips for a good business blog

Are you also looking for a good structure for your business blogs? That you finally have a serious and good structure for all your texts that are online? On your website but also on social media. In this review you will find 5 tips from Susanna Florie from her book: How do you…

Study tips from a budding engineer

“Why engineering?” is a question I get often. The answer for me is simple: I like to solve problems. Engineering is a popular field for many reasons. Perhaps this is because almost everything around us is created by engineers in one way or another, and there are always new, emerging and exciting technologies impacting…

How do I study mathematics and pass my exam?

Not sure how best to study math ? Are you perhaps someone who starts studying the day before the exam? Then you know yourself that your situation is not the most ideal. Unfortunately, there is no magic bullet to make you a maths crack or pass your exam in no time . It is important to know that mathematics always builds on…

(0)
×