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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/68193


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    題名: Solving Linear Programming Problems on the Parallel Virtual Machine Environment
    作者: 陸行
    Luh,Hsing
    Lee,Ming-Chang
    Lyu,JrJung
    貢獻者: 應數系
    日期: 2004
    上傳時間: 2014-08-05 17:33:41 (UTC+8)
    摘要: This study developed a parallel algorithm to efficiently solve linear programming models. The proposed algorithm utilizes the Dantzig-Wolfe Decomposition Principle and can be easily implemented in a general distributed computing environment. The analytical performance of the well-known method; including the speedup upper bound and lower bound limits; was derived. Numerical experiments are also provided in order to verify the complexity of the proposed algorithm. The empirical results demonstrate that the speedup of this parallel algorithm approaches linearity; which means that it can take full advantage of the distributed computing power as the size of the problem increases.
    關聯: American Journal of Applied Sciences,1(2),90-94
    資料類型: article
    顯示於類別:[應用數學系] 期刊論文

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