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Stochastic Dynamics, Filtering and Optimization (Hardcover)
Loot Price: R2,407
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Stochastic Dynamics, Filtering and Optimization (Hardcover)
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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 (R) codes
for all the applications are uploaded on the companion website.
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