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Coding the Matrix: Linear Algebra through Applications to Computer Science

Philip N. Klein




[PDF.hp06] Coding the Matrix: Linear Algebra through Applications to Computer Science

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 | #25665 in Books |  2013-09-03 | Original language:English | PDF # 1 |  11.00 x1.24 x8.50l,2.79 | File type: PDF | 548 pages

||84 of 84 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 err|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 easily download any file type for your device.Coding the Matrix: Linear Algebra through Applications to Computer Science   |  Philip N. Klein. I really enjoyed this book and have already told so many people about it!

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