Iterative methods of stochastic approximation for solving non-regular nonlinear operator equations

Author:

Bakushinskii A. B.,Kokurin M. Yu.

Publisher

Pleiades Publishing Ltd

Subject

Computational Mathematics

Reference24 articles.

1. M. T. Wasan, Stochastic Approximation (Cambridge Univ. Press, Cambridge, 1969; Mir, Moscow, 1972).

2. M. V. Nevel’son and R. Z. Has’minskii, Stochastic Approximation and Recursive Estimation (Nauka, Moscow, 1972; Am. Math. Soc., Providence, R.I., 1973).

3. H. J. Kushner and G. G. Yin, Stochastic Approximation and Recursive Algorithms and Applications (Springer, New York, 2003).

4. G. I. Salov, “On a stochastic approximation theorem in a Hilbert space and its applications,” Theor. Probab. Appl.24(2), 413–419 (1979).

5. A. B. Bakushinskii and M. Yu. Kokurin, Iterative Methods for Solving Ill-Posed Operator Equations with Smooth Operators (Editorial URSS, Moscow, 2002) [in Russian].

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