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Volumn 54, Issue 12, 2005, Pages 1219-1232

Near optimal solutions to least-squares problems with stochastic uncertainty

Author keywords

Learning theory; Least squares; Randomized algorithms; Robustness; Stochastic gradient methods; Uncertainty

Indexed keywords

ALGORITHMS; GRADIENT METHODS; LEAST SQUARES APPROXIMATIONS; PROBABILITY; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL METHODS; STOCHASTIC CONTROL SYSTEMS;

EID: 26844432428     PISSN: 01676911     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sysconle.2005.01.006     Document Type: Article
Times cited : (9)

References (20)
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  • 4
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    • Higle, J.L.1    Sen, S.2
  • 5
    • 84881348920 scopus 로고    scopus 로고
    • ∞ uncertain linear approximation problems using convex optimization
    • H.A. Hindi, S.P. Boyd, Robust solutions to l 1, l 2, and l ∞ uncertain linear approximation problems using convex optimization, in: Proceedings of American Control Conference, vol. 6, 1998, pp. 3487-3491.
    • (1998) Proceedings of American Control Conference , vol.6 , pp. 3487-3491
    • Hindi, H.A.1    Boyd, S.P.2
  • 8
    • 0001659305 scopus 로고
    • Asymptotic theory for solutions in statistical estimation and stochastic optimization
    • A.J. King, and R.T. Rockafellar Asymptotic theory for solutions in statistical estimation and stochastic optimization Math. Oper. Res. 18 1993 148 162
    • (1993) Math. Oper. Res. , vol.18 , pp. 148-162
    • King, A.J.1    Rockafellar, R.T.2
  • 9
    • 0032632474 scopus 로고    scopus 로고
    • Monte-Carlo bounding techniques for determining solution quality in stochastic programs
    • W.-K. Mak, D.P. Morton, and R.K. Wood Monte-Carlo bounding techniques for determining solution quality in stochastic programs Math. Oper. Res. 24 1999 47 56
    • (1999) Math. Oper. Res. , vol.24 , pp. 47-56
    • Mak, W.-K.1    Morton, D.P.2    Wood, R.K.3
  • 13
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    • Asymptotic properties of statistical estimators in stochastic programming
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    • Shapiro, A.1
  • 14
    • 0010629975 scopus 로고    scopus 로고
    • Stochastic programming by Monte Carlo simulation methods
    • A. Shapiro, Stochastic programming by Monte Carlo simulation methods, Stochastic Programming E-Print Series, http://dochost.rz.hu-berlin.de/speps/, 2000.
    • (2000) Stochastic Programming E-print Series
    • Shapiro, A.1
  • 19
    • 0035480306 scopus 로고    scopus 로고
    • Randomized algorithms for robust controller synthesis using statistical learning theory
    • M. Vidyasagar Randomized algorithms for robust controller synthesis using statistical learning theory Automatica 37 10 2001 1515 1528
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  • 20
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    • Stochastic programming
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.