Coding the Matrix: Linear Algebra through Applications to Computer Science
| Author | : | |
| Rating | : | 4.84 (781 Votes) |
| Asin | : | 0615880991 |
| Format Type | : | paperback |
| Number of Pages | : | 548 Pages |
| Publish Date | : | 2014-04-30 |
| Language | : | English |
DESCRIPTION:
W. He has been made an ACM Fellow in recognition of his contributions to research on graph algorithms. Klein received a B.A. His favorite xkcd is 612. 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. in Computer Science from MIT. Klein has worked at industry research labs, including Xerox PARC and AT&T Labs, and he has been Chief Scientist at three start-ups. He started learning programming in 1974, and started attending meetings of the Homebrew Computer Club a couple of years later. Dijkstra in 1979, he was told that, if he wanted to do co
in Applied Mathematics from Harvard and a Ph.D. Klein has worked at industry research labs, including Xerox PARC and AT&T Labs, and he has been Chief Scientist at three start-ups. He is a recipient of Brown University’s Award for Excellence in Teaching in the Sciences. His favorite xkcd is 612. He has been made an ACM Fellow in recognition of his contributions to research on graph algorithms. He has been a Visiting Scientist
Many typos in first version I found this book invaluable while taking the author's course Coding the Matrix on coursera.org. However, this first version was rushed to press with insufficient editing. It is rife with typos, some of which could mislead readers not already familiar with linear alg. "The Kindle version is not the same as recent printed versions and contains errors long since corrected in the print format." according to 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 errors which have been corrected in more re. If you plan to be an applied scientist read this book! I am am a retired software engineer who spent my entire career working for an aero-space research company. I have a master's degree in mathematics including graduate level linear algebra. And yet, it took me years on the job to relate the books to the problems we wer
An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Over two hundred illustrations, including a selection of relevant xkcd comics. Mathematical concepts and computational problems are motivated by applications in computer science. A companion web site, codingthematrix provides data and support code. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Most of the assignments can be auto-graded online. 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. 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