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    Analysis of a Nonhierarchical Decomposition Algorithm

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    TR-92-48.pdf (1.260Mb)
    Downloads: 65
    TR number
    TR-92-48
    Date
    1992
    Author
    Shankar, Jayashree
    Ribbens, Calvin J.
    Haftka, Raphael T.
    Watson, Layne T.
    Sobieszczanski-Sobieski, Jaroslaw
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    Abstract
    Large scale optimization problems are tractable only if they are somehow decomposed. Hierarchical decompositions are inappropriate for some types of problems and do not parallelize well. Sobieszczanski-Sobieski has proposed a nonhierarchical decomposition strategy for nonlinear constrained optimization that is naturally parallel. Despite some successes on engineering problems, the algorithm as originally proposed fails on simple two dimensional quadratic programs. This paper carefully analyzes the algorithm for quadratic programs, and suggests a number of modifications to improve its robustness.
    URI
    http://hdl.handle.net/10919/19801
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    • Computer Science Technical Reports [1035]

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