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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Main Authors: Hwang You Juish, 黃有志
Other Authors: Ho Chin Wen
Format: Others
Language:en_US
Published: 1995
Online Access:http://ndltd.ncl.edu.tw/handle/81192416051232637155
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spelling 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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description 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.
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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