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政大典藏 > College of Science > Department of Mathematical Sciences > Periodical Articles > Item 140.119/68193

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/68193

Title:	Solving Linear Programming Problems on the Parallel Virtual Machine Environment
Authors:	陸行 Luh,Hsing Lee,Ming-Chang Lyu,JrJung
Contributors:	應數系
Date:	2004
Issue Date:	2014-08-05 17:33:41 (UTC+8)
Abstract:	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.
Relation:	American Journal of Applied Sciences,1(2),90-94
Data Type:	article
Appears in Collections:	[Department of Mathematical Sciences] Periodical Articles

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