Linear algebra and probability for computer science applications / by Ernest Davis.

Linear algebra and probability for computer science applications /

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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. M...

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Bibliographic Details
Main Author: Davis, Ernest (Author)
Corporate Author: Taylor and Francis
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : A K Peters/CRC Press, an imprint of Taylor and Francis, 2012.
Edition:First edition.
Subjects:
Algebras, Linear.
Computer science > Mathematics.
Computeralgebra.
Datenverarbeitung.
Lineare Algebra.
Probabilities.
Online Access: Full text (WIT users only)
Table of Contents:
  • chapter 1 MATLAB
  • part I I Linear Algebra
  • chapter 2 Vectors
  • chapter 3 Matrices
  • chapter 4 Vector Spaces
  • chapter 5 Algorithms
  • chapter 6 Geometry
  • chapter 7 Change of Basis, DFT, and SVD
  • part II II Probability
  • chapter 8 Probability
  • chapter 9 Numerical Random Variables
  • chapter 10 Markov Models
  • chapter 11 Confidence Intervals
  • chapter 12 Monte Carlo Methods
  • chapter 13 Information and Entropy
  • chapter 14 Maximum Likelihood Estimation.

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