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Volumn 51, Issue 3, 2006, Pages 476-481

On the choice of random directions for stochastic approximation algorithms

Author keywords

Finite difference; Random direction; Simultaneous perturbation; Stochastic approximation

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ASYMPTOTIC STABILITY; FINITE DIFFERENCE METHOD; NORMAL DISTRIBUTION; OPTIMIZATION; RANDOM PROCESSES;

EID: 33644998505     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAC.2005.864195     Document Type: Article
Times cited : (15)

References (9)
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    • 0030703463 scopus 로고    scopus 로고
    • "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation"
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    • P. Sadegh and J. C. Spall, "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation," in Proc. Amer. Control Conf., Albuquerque, NM, Jun. 4-6, 1997, pp. 3582-3586.
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    • "Comparative study of stochastic algorithms for system optimization based on gradient approximation"
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    • D. C. Chin, "Comparative study of stochastic algorithms for system optimization based on gradient approximation," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 27, no. 2, pp. 244-249, Apr. 1997.
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    • "Implementation of the simultaneous perturbation algorithm for stochastic optimization"
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    • J. C. Spall, "Implementation of the simultaneous perturbation algorithm for stochastic optimization," IEEE Trans. Aerospace Electron. Syst., vol. 34, no. 3, pp. 817-823, Jul. 1998.
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  • 8
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    • L. Gerencsér, "Convergence rate of moments in stochastic approximation with simultaneous perturbation gradient approximation and resetting," IEEE Trans. Autom. Control, vol. 44, no. 5, pp. 894-905, May 1999.
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    • Gerencsér, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.