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Volumn 15, Issue 2, 2004, Pages 271-282

Application of the Monte-Carlo method to nonlinear stochastic optimization with linear constraints

Author keywords

Monte Carlo method; Portfolio optimization; Stochastic programming; feasible solution

Indexed keywords


EID: 4344596763     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (16)

References (22)
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    • (1999) Annals of Probability , vol.27 , Issue.1 , pp. 454-521
    • Bentkus, V.1    Gotze, F.2
  • 4
    • 85008765609 scopus 로고    scopus 로고
    • An overview of value-at-risk
    • Duffie, D., and J. Pan (1997). An overview of value-at-risk. J. Deriv., 4, 7-49.
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    • Duffie, D.1    Pan, J.2
  • 6
    • 85041752333 scopus 로고    scopus 로고
    • (Nonconvex Optimization and Its Applications, 64). Kluwer Academic Publishers
    • Han-Fu-Chen (2002). Stochastic Approximation and Its Applications (Nonconvex Optimization and Its Applications, 64). Kluwer Academic Publishers.
    • (2002) Stochastic Approximation and Its Applications
    • Han-Fu-Chen1
  • 7
    • 0347671405 scopus 로고
    • Network optimization by random variation of component values
    • Kjellstrom, G. (1969). Network optimization by random variation of component values. Ericson Techniques, 3, 133-151.
    • (1969) Ericson Techniques , vol.3 , pp. 133-151
    • Kjellstrom, G.1
  • 11
    • 0141643204 scopus 로고    scopus 로고
    • LP solvable models for portfolio optimization
    • Mansini, R., W. Ogryczak and M.G. Speranza (2003). LP solvable models for portfolio optimization. Informatica, 14(1), 37-62.
    • (2003) Informatica , vol.14 , Issue.1 , pp. 37-62
    • Mansini, R.1    Ogryczak, W.2    Speranza, M.G.3
  • 15
    • 0020708088 scopus 로고
    • Smoothed functionals in stochastic optimization
    • Rubinstein, R. (1983). Smoothed functionals in stochastic optimization. Mathematical Operations Research, 8, 26-33.
    • (1983) Mathematical Operations Research , vol.8 , pp. 26-33
    • Rubinstein, R.1
  • 17
    • 0007992341 scopus 로고    scopus 로고
    • Nonlinear stochastic optimization by the Monte-Carlo method
    • Sakalauskas, L. (2000). Nonlinear stochastic optimization by the Monte-Carlo method. Informatica, 11(4), 455-468.
    • (2000) Informatica , vol.11 , Issue.4 , pp. 455-468
    • Sakalauskas, L.1
  • 18
    • 0037117189 scopus 로고    scopus 로고
    • Nonlinear stochastic programming by Monte-Carlo estimators
    • Sakalauskas, L. (2002). Nonlinear stochastic programming by Monte-Carlo estimators. European Journal on Operational Research, 137, 558-573.
    • (2002) European Journal on Operational Research , vol.137 , pp. 558-573
    • Sakalauskas, L.1
  • 19
    • 0001239612 scopus 로고
    • Asymptotic properties of statistical estimators in stochastic programming
    • Shapiro, A. (1989). Asymptotic properties of statistical estimators in stochastic programming. The Annals of Statistics, 17(2), 841-858.
    • (1989) The Annals of Statistics , vol.17 , Issue.2 , pp. 841-858
    • Shapiro, A.1
  • 20
    • 0004225404 scopus 로고
    • Nauka, Moscow (in Russian)
    • Shyryajev, A. (1989). Probability. Nauka, Moscow (in Russian).
    • (1989) Probability
    • Shyryajev, A.1
  • 22
    • 0040553301 scopus 로고
    • Derivatives of probability functions and integrals over sets given by inequalities
    • Uryasev, S. (1994). Derivatives of probability functions and integrals over sets given by inequalities. J. Comput. Appl. Math., 56(1-2), 197-223.
    • (1994) J. Comput. Appl. Math. , vol.56 , Issue.1-2 , pp. 197-223
    • Uryasev, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.