[PDF.66nl] Approximation and Weak Convergence Methods for Random Processes with Applications to Stochastic Systems Theory (Signal Processing, Optimization, and Control)
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Approximation and Weak Convergence Methods for Random Processes with Applications to Stochastic Systems Theory (Signal Processing, Optimization, and Control)
Harold J. Kushner
[PDF.mb99] Approximation and Weak Convergence Methods for Random Processes with Applications to Stochastic Systems Theory (Signal Processing, Optimization, and Control)
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| #7280950 in Books | 1984-04-26 | Original language:English | PDF # 1 | 9.00 x.90 x6.00l, | File type: PDF | 361 pages||||The book providesan excellent development of the techniques of asymptotic analysis and weak convergence theory for stochastics dynamical systems. The chapters devoted to applications provide especially valuable illustrations of the uses of the methods. (Gilme
Control and communications engineers, physicists, and probability theorists, among others, will find this book unique. It contains a detailed development of approximation and limit theorems and methods for random processes and applies them to numerous problems of practical importance. In particular, it develops usable and broad conditions and techniques for showing that a sequence of processes converges to a Markov diffusion or jump process. This is useful when the natur...
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