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Sinopsis
Coding the matrix editado por Newtonian Press
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Reseña del editor
A new edition of this text, incorporating corrections and an expanded index, has been issued as of September 3, 2013.
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
Biografía del autor
Philip Klein is Professor of Computer Science at Brown University. He was a recipient of the National Science Foundation’s Presidential Young Investigator Award, and has received multiple research grants from the National Science Foundation. He has been made an ACM Fellow in recognition of his contributions to research on graph algorithms. He is a recipient of Brown University’s Award for Excellence in Teaching in the Sciences. Klein received a B.A. in Applied Mathematics from Harvard and a Ph.D. in Computer Science from MIT. He has been a Visiting Scientist at Princeton’s Computer Science Department, at MIT’s Mathematics Department, and at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), where he is currently a Research Affiliate. Klein has worked at industry research labs, including Xerox PARC and AT&T Labs, and he has been Chief Scientist at three start-ups. Klein was born and raised in Berkeley, California. He started learning programming in 1974, and started attending meetings of the Homebrew Computer Club a couple of years later. His love for computer science has never abated, but in a chance encounter with E. W. Dijkstra in 1979, he was told that, if he wanted to do computer science, he had better learn some math. His favorite xkcd is 612.
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- EditorialNewtonian Press
- Año de publicación2013
- ISBN 10 061585673X
- ISBN 13 9780615856735
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas528
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Coding the Matrix: Linear Algebra through Computer Science Applications
Publicado por
Newtonian Press, 2013
ISBN 10: 061585673X
ISBN 13: 9780615856735
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Coding the Matrix: Linear Algebra Through Computer Science Applications
Publicado por
Newtonian Press, 2013
ISBN 10: 061585673X
ISBN 13: 9780615856735
Antiguo o usado
Paperback
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Coding the Matrix: Linear Algebra Through Computer Science Applications
Publicado por
Newtonian Press, 2013
ISBN 10: 061585673X
ISBN 13: 9780615856735
Antiguo o usado
Paperback
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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 3.35. Nº de ref. del artículo: G061585673XI4N00
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Coding the Matrix: Linear Algebra Through Computer Science Applications
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Newtonian Press, 2013
ISBN 10: 061585673X
ISBN 13: 9780615856735
Antiguo o usado
Paperback
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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 3.35. Nº de ref. del artículo: G061585673XI4N00
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Coding the Matrix : Linear Algebra through Computer Science Applications
Publicado por
Newtonian Press, 2013
ISBN 10: 061585673X
ISBN 13: 9780615856735
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Paperback
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Paperback. Condición: Very Good. 2 This book is in very good condition; previous owner name stamp on top and bottom edges. It does have some cover shelfwear and light corner curling. Inside pages are clean. ; 10.79 X 8.27 X 1.42 inches; 528 pages. Nº de ref. del artículo: 080114-500-288
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