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An invariant measure approach to the convergence of stochastic approximations with state dependent noise.

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Title: An invariant measure approach to the convergence of stochastic approximations with state dependent noise.
Authors: Kushner, Harold J., Shwartz, Adam
Source: SIAM Journal on Control & Optimization; January 1984, Vol. 22, p13-27, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 500040072
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An invariant measure approach to the convergence of stochastic approximations with state dependent noise.
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  Data: <searchLink fieldCode="AU" term="%22Kushner%2C+Harold+J%2E%22">Kushner, Harold J.</searchLink><br /><searchLink fieldCode="AU" term="%22Shwartz%2C+Adam%22">Shwartz, Adam</searchLink>
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      – Type: doi
        Value: 10.1137/0322002
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 13
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      – TitleFull: An invariant measure approach to the convergence of stochastic approximations with state dependent noise.
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            NameFull: Kushner, Harold J.
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            NameFull: Shwartz, Adam
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          Dates:
            – D: 01
              M: 01
              Text: January 1984
              Type: published
              Y: 1984
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              Value: 03630129
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              Value: 22
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            – TitleFull: SIAM Journal on Control & Optimization
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