Linear Algebra and Probability for Computer Science Applications: 1st Edition (e-Book) book cover

Linear Algebra and Probability for Computer Science Applications

1st Edition

By Ernest Davis

A K Peters/CRC Press

431 pages

Purchasing Options:$ = USD
Hardback: 9781466501553
pub: 2012-05-02
eBook (VitalSource) : 9780429067525
pub: 2012-05-02
from $36.48

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Based on the author's course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the chapters discuss relevant MATLAB functi

Table of Contents

MATLAB. LINEAR ALGEBRA: Vectors. Matrices. Vector Spaces. Algorithms. Geometry. Change of Basis, DFT, and SVD. PROBABILITY: Probability. Numerical Random Variables. Markov Models. Confidence Intervals. Monte Carlo Methods. Information and Entropy. Maximum Likelihood Estimation. References. Notation. Index.

About the Author

Ernest Davis is a computer science professor in the Courant Institute of Mathematical Sciences at New York University. He earned a Ph.D. in computer science from Yale University. Dr. Davis is a member of the American Association of Artificial Intelligence and is a reviewer for many journals. His research primarily focuses on spatial and physical reasoning.

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / Bayesian Analysis