
When Life Is Linear
From Computer Graphics to Bracketology
Tim Chartier(Author)
The Mathematical Association of America (Publisher)
Published on 10. September 2015
Book
Paperback/Softback
148 pages
978-0-88385-649-9 (ISBN)
Unfortunately, price unknown
No shipping information available
Description
From simulating complex phenomenon on supercomputers to storing information for modern 3D printing, the mathematics of data is a huge part of our world. A major tool to manipulate and study such data is linear algebra. This book introduces concepts of matrix algebra with an emphasis on applications, 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 book 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 football. With a strong visual approach, the book can serve as a resource on its own or as a supplement to a course on linear algebra.
More details
Series
Language
English
Place of publication
Washington DC
United States
Publishing group
Cambridge University Press
Target group
College/higher education
Product notice
Paperback (trade)
Dimensions
Height: 228 mm
Width: 152 mm
Thickness: 8 mm
Weight
230 gr
ISBN-13
978-0-88385-649-9 (9780883856499)
Schweitzer Classification
Person
Author
Davidson College, North Carolina
Tim Chartier is an Associate Professor in the Department of Mathematics and Computer Science at Davidson College.
Tim Chartier is an Associate Professor in the Department of Mathematics and Computer Science at Davidson College.
Content
Preface; 1. X marks the spot; 2. Entering the matrices; 3. Sum matrices; 4. Fitting the norm; 5. Go forth and multiply; 6. It's elementary, my dear Watson; 7. Math to the max; 8. Stretch and shrink; 9. Zombie math-decomposing; 10. What are the chances?; 11. Mining for meaning; 12. Who's number 1?; 13. End of the line.