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Volumn 16, Issue 1, 2000, Pages 77-93

An Algorithm for Global Minimization of Linearly Constrained Quadratic Functions

Author keywords

Branch and bound methods; Constrained global optimization; Duality techniques; Quadratic programming

Indexed keywords


EID: 0242356173     PISSN: 09255001     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008306625093     Document Type: Article
Times cited : (14)

References (19)
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  • 10
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    • Muller, R.K. (1979), A method for solving the indefinite quadratic programming A problem, Management Science 16/5: 333-339.
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    • Muller, R.K.1
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    • Murty, K.G.1    Kabadi, S.N.2
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    • Pardalos, P.M.1    Glick, J.H.2    Rosen, J.B.3
  • 13
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    • Springer-Verlag, Berlin.
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    • (1987) Lecture Notes in Computer Science , pp. 268
    • Pardalos, P.M.1    Rosen, J.B.2
  • 14
    • 0023961375 scopus 로고
    • Checking local optimality in constrained quadratic programming is NP-hard
    • Pardalos, P.M. and Schnitger, G. (1988), Checking local optimality in constrained quadratic programming is NP-hard, OR Letters 7: 33-35.
    • (1988) OR Letters , vol.7 , pp. 33-35
    • Pardalos, P.M.1    Schnitger, G.2
  • 15
    • 0024107502 scopus 로고
    • A parallel algorithm for constrained concave quadratic global minimization
    • Phillips, A.T. and Rosen, J.B. (1988), A parallel algorithm for constrained concave quadratic global minimization, Mathematical Programming 42: 421-488.
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    • Phillips, A.T.1    Rosen, J.B.2
  • 16
    • 0022677990 scopus 로고
    • Global minimization of large scale constrained concave quadratic problems by separable programming
    • Rosen, J.B. and Pardalos, P.M. (1986), Global minimization of large scale constrained concave quadratic problems by separable programming, Mathematical Programming 34: 163-174.
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    • A finite algorithm for global minimization of separable concave programs
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    • (1996) State of the Art in Global Optimization: Computational Methods and Applications , pp. 303-340
    • Shectman, J.P.1    Sahinidis, N.V.2
  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.