Abstract
This chapter has a double purpose. Starting from a few informally stated theorems, backed up by appropriate heuristics, we shall present, firstly a guide for an initial coarse analysis (convergence) of the adaptive algorithms, and secondly, a guide to the essentials of algorithm design. The transient phase of the algorithm will be studied briefly.
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© 1990 Springer-Verlag Berlin Heidelberg
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Benveniste, A., Métivier, M., Priouret, P. (1990). Convergence: the ODE Method. In: Adaptive Algorithms and Stochastic Approximations. Applications of Mathematics, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75894-2_3
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DOI: https://doi.org/10.1007/978-3-642-75894-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-75896-6
Online ISBN: 978-3-642-75894-2
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