Linear Algebra and Its Applications

Linear Algebra and Its Applications
Author :
Publisher :
Total Pages : 800
Release :
ISBN-10 : 1292020555
ISBN-13 : 9781292020556
Rating : 4/5 (55 Downloads)

Book Synopsis Linear Algebra and Its Applications by : David C. Lay

Download or read book Linear Algebra and Its Applications written by David C. Lay and published by . This book was released on 2013-07-29 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.This package includes MyMathLab(R). 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. Personalize learning with MyMathLabMyMathLab 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.


Linear Algebra and Its Applications Related Books

Linear Algebra and Its Applications
Language: en
Pages: 800
Authors: David C. Lay
Categories: Algebras, Linear
Type: BOOK - Published: 2013-07-29 - Publisher:

DOWNLOAD EBOOK

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 grea
Linear Algebra and Its Applications
Language: en
Pages: 261
Authors: Peter D. Lax
Categories: Mathematics
Type: BOOK - Published: 2013-05-20 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This set features Linear Algebra and Its Applications, Second Edition (978-0-471-75156-4) Linear Algebra and Its Applications, Second Edition presents linear al
Introduction to Modern Algebra and Its Applications
Language: en
Pages: 363
Authors: Nadiya Gubareni
Categories: Mathematics
Type: BOOK - Published: 2021-06-23 - Publisher: CRC Press

DOWNLOAD EBOOK

The book provides an introduction to modern abstract algebra and its applications. It covers all major topics of classical theory of numbers, groups, rings, fie
Boolean Algebra and Its Applications
Language: en
Pages: 194
Authors: J. Eldon Whitesitt
Categories: Mathematics
Type: BOOK - Published: 2012-05-24 - Publisher: Courier Corporation

DOWNLOAD EBOOK

Introductory treatment begins with set theory and fundamentals of Boolean algebra, proceeding to concise accounts of applications to symbolic logic, switching c
Linear Algebra and Its Applications with R
Language: en
Pages: 424
Authors: Ruriko Yoshida
Categories: Business & Economics
Type: BOOK - Published: 2021-06-27 - Publisher: CRC Press

DOWNLOAD EBOOK

This book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These students tend not to r