Softcover ISBN:  9780883856499 
Product Code:  NML/45 
List Price:  $65.00 
MAA Member Price:  $48.75 
AMS Member Price:  $48.75 
eBook ISBN:  9780883859889 
Product Code:  NML/45.E 
List Price:  $50.00 
MAA Member Price:  $37.50 
AMS Member Price:  $37.50 
Softcover ISBN:  9780883856499 
eBook: ISBN:  9780883859889 
Product Code:  NML/45.B 
List Price:  $115.00$90.00 
MAA Member Price:  $86.25$67.50 
AMS Member Price:  $86.25$67.50 
Softcover ISBN:  9780883856499 
Product Code:  NML/45 
List Price:  $65.00 
MAA Member Price:  $48.75 
AMS Member Price:  $48.75 
eBook ISBN:  9780883859889 
Product Code:  NML/45.E 
List Price:  $50.00 
MAA Member Price:  $37.50 
AMS Member Price:  $37.50 
Softcover ISBN:  9780883856499 
eBook ISBN:  9780883859889 
Product Code:  NML/45.B 
List Price:  $115.00$90.00 
MAA Member Price:  $86.25$67.50 
AMS Member Price:  $86.25$67.50 

Book DetailsAnneli Lax New Mathematical LibraryVolume: 45; 2015; 136 ppRecipient of the Mathematical Association of America's Beckenbach Book Prize in 2017!
From simulating complex phenomenon on supercomputers to storing the coordinates needed in modern 3D printing, data is a huge and growing part of our world. A major tool to manipulate and study this data is linear algebra. This book introduces concepts of matrix algebra with an emphasis on application, particularly in the fields of computer graphics and data mining. Readers will learn to make an image transparent, compress an image and rotate a 3D wireframe model. In data mining, readers will use linear algebra to read zip codes on envelopes and encrypt sensitive information.
The books details methods behind web search, utilized by such companies as Google, and algorithms for sports ranking which have been applied to creating brackets for March Madness and predict outcomes in FIFA World Cup soccer. The book can serve as its own resource or to supplement a course on linear algebra. 
Table of Contents

Chapters

Chapter 1. X Marks the Spot

Chapter 2. Entering the Matrix

Chapter 3. Sum Matrices

Chapter 4. Fitting the Norm

Chapter 5. Go Forth and Multiply

Chapter 6. It’s Elementary, My Dear Watson

Chapter 7. Math to the Max

Chapter 8. Stretch and Shrink

Chapter 9. Zombie Math—Decomposing

Chapter 10. What Are the Chances?

Chapter 11. Mining for Meaning

Chapter 12. Who’s Number 1?

Chapter 13. End of the Line


Additional Material

Reviews

The aim of this small volume is to engage in applications of linear algebra. The focus is on motivation and raising interest rather than on teaching. … if you can't imagine what linear algebra is good for, read this book, get captivated, and start to explore on your own.
Dieter Riebesehl, Zentrallblatt MATH 
One of the nice things about linear algebra, I've always thought, is that there is something in the subject for just about everybody. There's a lot of beautiful theory, but at the same time those people who like to roll up their sleeves and get their hands dirty with computations, particularly in aid of interesting applications, will find much here to interest them as well. … The writing is clear, the applications are interesting, and a student with some knowledge of linear algebra would benefit greatly from knowing the material in this book.
Mark Hunacek, MAA Reviews 
… Math can be fun and it can be useful, a small percentage of people consider it both. With the existence of this book, that percentage will rise.
Charles Ashbacher


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 Book Details
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From simulating complex phenomenon on supercomputers to storing the coordinates needed in modern 3D printing, data is a huge and growing part of our world. A major tool to manipulate and study this data is linear algebra. This book introduces concepts of matrix algebra with an emphasis on application, particularly in the fields of computer graphics and data mining. Readers will learn to make an image transparent, compress an image and rotate a 3D wireframe model. In data mining, readers will use linear algebra to read zip codes on envelopes and encrypt sensitive information.
The books details methods behind web search, utilized by such companies as Google, and algorithms for sports ranking which have been applied to creating brackets for March Madness and predict outcomes in FIFA World Cup soccer. The book can serve as its own resource or to supplement a course on linear algebra.

Chapters

Chapter 1. X Marks the Spot

Chapter 2. Entering the Matrix

Chapter 3. Sum Matrices

Chapter 4. Fitting the Norm

Chapter 5. Go Forth and Multiply

Chapter 6. It’s Elementary, My Dear Watson

Chapter 7. Math to the Max

Chapter 8. Stretch and Shrink

Chapter 9. Zombie Math—Decomposing

Chapter 10. What Are the Chances?

Chapter 11. Mining for Meaning

Chapter 12. Who’s Number 1?

Chapter 13. End of the Line

The aim of this small volume is to engage in applications of linear algebra. The focus is on motivation and raising interest rather than on teaching. … if you can't imagine what linear algebra is good for, read this book, get captivated, and start to explore on your own.
Dieter Riebesehl, Zentrallblatt MATH 
One of the nice things about linear algebra, I've always thought, is that there is something in the subject for just about everybody. There's a lot of beautiful theory, but at the same time those people who like to roll up their sleeves and get their hands dirty with computations, particularly in aid of interesting applications, will find much here to interest them as well. … The writing is clear, the applications are interesting, and a student with some knowledge of linear algebra would benefit greatly from knowing the material in this book.
Mark Hunacek, MAA Reviews 
… Math can be fun and it can be useful, a small percentage of people consider it both. With the existence of this book, that percentage will rise.
Charles Ashbacher