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Volumn 44, Issue 3, 2001, Pages 251-260

Solving large scale mean-variance models with dense non-factorable covariance matrices

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EID: 0347078687     PISSN: 04534514     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0453-4514(01)80010-7     Document Type: Article
Times cited : (9)

References (15)
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    • (1998) International J. of Theoretical and Applied Finance , vol.1 , pp. 145-160
    • Konno, H.1    Li, J.2
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    • A fast algorithm for solving large scale mean-variance models by compact factorization of covariance matrices
    • H. Konno and K. Suzuki : A fast algorithm for solving large scale mean-variance models by compact factorization of covariance matrices. J. of the Operations Research Society of Japan, 35(1992)93-104.
    • (1992) J. of the Operations Research Society of Japan , vol.35 , pp. 93-104
    • Konno, H.1    Suzuki, K.2
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    • A new efficient algorithm for a class of portfolio selection problems
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    • An interior point algorithm for large scale portfolio optimization
    • H. Takehara : An interior point algorithm for large scale portfolio optimization. Annals of Operations Research, 45(1993)373-386.
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    • Takehara, H.1
  • 13
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    • On the convergence of some feasible directions algorithms for nonlinear programming
    • D. M. Topkis and A. F., Jr. Veinott : On the convergence of some feasible directions algorithms for nonlinear programming. SIAM J. on Control, 5(1967)268-279.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.