The mathematics of data is of growing importance, and a major tool to manipulate and study data is linear algebra. This book introduces concepts of matrix algebra with an emphasis on applications, including computer graphics and data mining. It is suitable as a textbook or as a supplement to a linear algebra course.
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Tim Chartier is an Associate Professor in the Department of Mathematics and Computer Science at Davidson College.
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Condición: New. An extensively illustrated introductory textbook on linear algebra, with an emphasis on applications in fields such as computer graphics and data science. Series: Anneli Lax New Mathematical Library. Num Pages: 148 pages. BIC Classification: PBF. Category: (U) Tertiary Education (US: College). Dimension: 155 x 230 x 11. Weight in Grams: 216. . 2015. Paperback. . . . . Nº de ref. del artículo: V9780883856499
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Paperback. Condición: New. 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. Nº de ref. del artículo: LU-9780883856499
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