Stochastic Models, Information Theory, and Lie Groups, Volume 1: Classical Results and Geometric Methods

Author:   Gregory S. Chirikjian
Publisher:   Birkhauser Boston Inc
Edition:   2009 ed.
ISBN:  

9780817648022


Pages:   383
Publication Date:   15 September 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Stochastic Models, Information Theory, and Lie Groups, Volume 1: Classical Results and Geometric Methods


Overview

This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena. Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises and motivating examples make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.

Full Product Details

Author:   Gregory S. Chirikjian
Publisher:   Birkhauser Boston Inc
Imprint:   Birkhauser Boston Inc
Edition:   2009 ed.
Dimensions:   Width: 17.80cm , Height: 2.30cm , Length: 25.40cm
Weight:   2.190kg
ISBN:  

9780817648022


ISBN 10:   081764802
Pages:   383
Publication Date:   15 September 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Gaussian Distributions and the Heat Equation.- Probability and Information Theory.- Stochastic Differential Equations.- Geometry of Curves and Surfaces.- Differential Forms.- Polytopes and Manifolds.- Stochastic Processes on Manifolds.- Summary.

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Latest Reading Guide

NOV RG 20252

 

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