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Coding the Matrix: Linear Algebra through Applications to Computer Science

Philip N. Klein




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 | #119283 in Books |  Philip N Klein |  2013-09-03 | Original language:English | PDF # 1 |  11.00 x1.24 x8.50l,2.79 | File type: PDF | 548 pages

 | Coding the Matrix Linear Algebra through Applications to Computer Science

||101 of 101 people found the following review helpful.| The Kindle version is not the same as recent printed versions and contains errors long since corrected in the print format.|By Ted Hoffman|This review is specific to the Kindle version of the book.

The textbook as intended is excellent. As many other readers have noted going back several years, the 1st edition of this book had an over abundance of typographical e|About the Author|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 Foundatio

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 ...

You can specify the type of files you want, for your device.Coding the Matrix: Linear Algebra through Applications to Computer Science   |  Philip N. Klein. A good, fresh read, highly recommended.

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