Iterative methods of stochastic approximation for solving non-regular nonlinear operator equations
type: Item
instance of: scholarly article
title: Iterative methods of stochastic approximation for solving non-regular nonlinear operator equations
zbMATH Open document ID: 1331.65079
DOI: 10.1134/S096554251510005X
published in: Computational Mathematics and Mathematical Physics
publication date: 2016-01-13T00:00:00Z
Mathematics Subject Classification ID: 65J15
Mathematics Subject Classification ID: 47J25
Mathematics Subject Classification ID: 65J20
Mathematics Subject Classification ID: 47J06
zbMATH DE Number: 6529515
zbMATH Keywords: iterative methods
zbMATH Keywords: iterative regularization
zbMATH Keywords: random errors
zbMATH Keywords: averaging
zbMATH Keywords: mean-square convergence
zbMATH Keywords: stability
zbMATH Keywords: non-regular nonlinear operator equations
zbMATH Keywords: Hilbert space
author: A. B. Bakushinskii
author: Mikhail Yu. Kokurin
MaRDI profile type: Publication
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full work available at URL: s096554251510005x
OpenAlex ID: W2196651796
description: scientific article; zbMATH DE number 6529515