Item description for Random Iterative Models (Stochastic Modelling and Applied Probability) by S.S. Wilson Marie Duflo...
The recent development of computation and automation has lead to quick advances in the theory and practice of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, organizing multiaccess broadcast channels, self-learning of neural networks ...). This book provides an up-to-date view of a wide range of those methods: stochastic approximation, linear and non-linear models, controlled Markov chains, estimation and adaptive control, learning ... Mathematicians (researchers and also students) and engineers will find here a self-contained account of many approaches to those theories.
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Est. Packaging Dimensions: Length: 9.3" Width: 6.2" Height: 1.1" Weight: 1.55 lbs.
Release Date Oct 12, 2000
ISBN 3540571000 ISBN13 9783540571001
Availability 74 units. Availability accurate as of Apr 24, 2017 05:29.
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