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Coding the Matrix - Linear Algebra through Applications to Computer Science (Paperback)
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Coding the Matrix - Linear Algebra through Applications to Computer Science (Paperback)
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An engaging introduction to vectors and matrices and the algorithms
that operate on them, intended for the student who knows how to
program. Mathematical concepts and computational problems are
motivated by applications in computer science. The reader learns by
"doing," writing programs to implement the mathematical concepts
and using them to carry out tasks and explore the applications.
Examples include: error-correcting codes, transformations in
graphics, face detection, encryption and secret-sharing, integer
factoring, removing perspective from an image, PageRank (Google's
ranking algorithm), and cancer detection from cell features. A
companion web site, codingthematrix.com provides data and support
code. Most of the assignments can be auto-graded online. Over two
hundred illustrations, including a selection of relevant "xkcd"
comics.
Chapters: "The Function," "The Field," "The Vector," "The Vector
Space," "The Matrix," "The Basis," "Dimension," "Gaussian
Elimination," "The Inner Product," "Special Bases," "The Singular
Value Decomposition," "The Eigenvector," "The Linear Program"
General
Imprint: |
Newtonian Press
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Country of origin: |
United States |
Release date: |
September 2013 |
First published: |
September 2013 |
Authors: |
Philip N. Klein
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Dimensions: |
279 x 215 x 30mm (L x W x T) |
Format: |
Paperback
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Pages: |
535 |
ISBN-13: |
978-0-615-88099-0 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Algebra >
General
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LSN: |
0-615-88099-1 |
Barcode: |
9780615880990 |
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