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  • 1
    Title: ¬A¬ reformulation-linearization technique for solving discrete and continuous nonconvex problems /; v. 31
    Author: Sherali, Hanif D.
    Contributer: Adams, Warren P.
    Publisher: Dordrecht [u.a.] :Kluwer Academic Publ.,
    Year of publication: 1999
    Pages: XXIII, 514 S. : , graph. Darst.
    Series Statement: Nonconvex optimization and its applications v. 31
    ISBN: 0-7923-5487-7
    Type of Medium: Book
    Language: English
    URL: 01  (lizenzfrei)
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical programming 59 (1993), S. 279-305 
    ISSN: 1436-4646
    Keywords: Bilinear program ; linearization ; cutting planes ; Lagrangian relaxation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract This paper addresses a class of problems called mixed-integer bilinear programming problems. These problems are identical to the well known bilinear programming problems with the exception that one set of variables is restricted to be binary valued, and they arise in various production, location—allocation, and distribution application contexts. We first identify some special cases of this problem which are relatively more readily solvable, even though their continuous relaxations are still nonconvex. For the more general case, we employ a linearization technique and design a composite Lagrangian relaxation-implicit enumeration-cutting plane algorithm. Extensive computational experience is provided to test the efficacy of various algorithmic strategies and the effects of problem data on the computational effort of the proposed algorithm.
    Type of Medium: Electronic Resource
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