An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees
碩士 === 國立中央大學 === 資訊及電子工程研究所 === 83 === Analysis of the network reliability is of major importance in computer, communication, power networks, and other networks. The $K$-terminal reliability problem is to compute the probability that the $...
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ndltd-TW-083NCU003930132015-10-13T12:53:41Z http://ndltd.ncl.edu.tw/handle/81192416051232637155 An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees 在partial2-trees上計算K端點集間可賴度的平行演算法 Hwang You Juish 黃有志 碩士 國立中央大學 資訊及電子工程研究所 83 Analysis of the network reliability is of major importance in computer, communication, power networks, and other networks. The $K$-terminal reliability problem is to compute the probability that the $K$-vertices on the network are still connected. In general, the problem is NP-hard in general graph. For some special graphs (such as partial 2-trees), the K- terminal reliability problem can be solved in linear time by a sequential algorithm. In this paper, we present parallel algorithms to solve the K-terminal reliability in 2-trees and partial 2-trees with C(m, n) processors in O(log n) time on a CRCW PRAM, where C(m, n) is the number of processors required to find connected components of a graph with m edges and n vertices in logarithmic time. Ho Chin Wen 何錦文 1995 學位論文 ; thesis 41 en_US |
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碩士 === 國立中央大學 === 資訊及電子工程研究所 === 83 === Analysis of the network reliability is of major importance in
computer, communication, power networks, and other networks.
The $K$-terminal reliability problem is to compute the
probability that the $K$-vertices on the network are still
connected. In general, the problem is NP-hard in general graph.
For some special graphs (such as partial 2-trees), the K-
terminal reliability problem can be solved in linear time by a
sequential algorithm. In this paper, we present parallel
algorithms to solve the K-terminal reliability in 2-trees and
partial 2-trees with C(m, n) processors in O(log n) time on a
CRCW PRAM, where C(m, n) is the number of processors required
to find connected components of a graph with m edges and n
vertices in logarithmic time.
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author2 |
Ho Chin Wen |
author_facet |
Ho Chin Wen Hwang You Juish 黃有志 |
author |
Hwang You Juish 黃有志 |
spellingShingle |
Hwang You Juish 黃有志 An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees |
author_sort |
Hwang You Juish |
title |
An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees |
title_short |
An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees |
title_full |
An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees |
title_fullStr |
An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees |
title_full_unstemmed |
An Efficient Parallel Strategy for Computing K-terminal Reliability in Partial 2-trees |
title_sort |
efficient parallel strategy for computing k-terminal reliability in partial 2-trees |
publishDate |
1995 |
url |
http://ndltd.ncl.edu.tw/handle/81192416051232637155 |
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