List Price: $35.00
Purchase
through Amazon
|
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 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.
Coding the Matrix:
Linear Algebra through Computer Science
Applications
Authored by Philip N. Klein
Edition: 0
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
- Publication
Date:
- Jul 26 2013
- ISBN/EAN13:
- 061585673X / 9780615856735
- Page Count:
- 528
- Binding Type:
- US Trade Paper
- Trim Size:
- 8.5" x 11"
- Language:
- English
- Color:
- Black and White
- Related
Categories:
- Mathematics / Matrices
|
