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Volumn 101, Issue 2, 1997, Pages 261-284

Stochastic gradient algorithm with random truncations

Author keywords

Gradient methods; Stochastic approximation; Stochastic optimization; Uniform mixing

Indexed keywords

ALGORITHMS; OPTIMIZATION; PROBABILITY; RANDOM PROCESSES;

EID: 0031221985     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(96)00397-9     Document Type: Article
Times cited : (7)

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  • 3
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    • Convergence and robustness of the Robins-Monro algorithm truncated at randomly varying bounds
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  • 8
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    • S.R. Kulkarni, C.S. Horn, Necessary and sufficient conditions for convergence of stochastic approximation algorithms under arbitrary disturbances, in: Proceedings of the 34th Conference on Decision and Control, 1995, 3843-3848.
    • (1995) Proceedings of the 34th Conference on Decision and Control , pp. 3843-3848
    • Kulkarni, S.R.1    Horn, C.S.2
  • 12
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    • Stochastic approximation with discontinuous dynamics and state dependent noise: w.p.l and weak convergence
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.