Stochastic Dynamics, Filtering and Optimization
Book Details
Format
Hardback or Cased Book
ISBN-10
1107182646
ISBN-13
9781107182646
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
May 4th, 2017
Print length
742 Pages
Weight
1,332 grams
Dimensions
19.50 x 31.40 x 3.80 cms
Product Classification:
Probability & statisticsOptimizationStochasticsMechanical engineering
Ksh 15,700.00
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A comprehensive discussion on stochastic processes and calculus in an easy-to-understand manner. It emphasizes applying theory to develop powerful tools for diverse applications including system identification and optimization.
Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a self-contained introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes. It then continues to weave into a framework of several practical tools and applications involving stochastic dynamical systems. These include tools for the numerical integration of such dynamical systems, nonlinear stochastic filtering and generalized Bayesian update theories for solving inverse problems and a new stochastic search technique for treating a broad class of non-convex optimization problems. MATLAB® codes for all the applications are uploaded on the companion website.
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