Stochastic Approximation Algorithms and Applications

Anatolii A. Puhalskii, Harold J. Kushner, G. George Yin

Journal of the American Statistical Association · 1998 · 1K citations · 0 references

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Abstract

Applications and issues application to learning, state dependent noise and queueing applications to signal processing and adaptive control mathematical background convergence with probability one - Martingale difference noise convergence with probability one - correlated noise weak convergence - introduction weak convergence methods for general algorithms applications - proofs of convergence rate of convergence averaging of the iterates distributed/decentralized and asynchronous algorithms.