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Averaging Methods for the Asymptotic Analysis of Learning and Adaptive Systems, with Small Adjustment Rate

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Outgoing claims: the papers this work cites, builds on, or argues with.

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A martingale method for the convergence of a sequence of processes to a jump-diffusion process
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MULTI-DIMENSIONAL DIFFUSION PROCESSES
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On the Weak Convergence of a Sequence of General Stochastic Difference Equations to a Diffusion
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Markovian Learning Processes
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Convergence of Probability Measures.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Stochastic Approximation with Averaging and Feedback: Faster Convergence
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AN AVERAGING METHOD FOR STOCHASTIC APPROXIMATIONS WITH DISCONTINUOUS DYNAMICS, CONSTRAINTS, AND STATE DEPENDENT NOISE11Work supported in part by the Air Force Office of Scientific Research under AFOSR 76-306D, in part by the National Science Foundation under NSF-Eng 77-12946-A02 and in part by the…
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Filtering and control for wide bandwidth noise driven systems
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