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作者(中文):李政緯
作者(外文):Lee, Cheng-Wei
論文名稱(中文):在稀疏可分枝節點下解決有向性Steiner Tree問題的近似演算法
論文名稱(外文):Approximation Algorithms for Directed Steiner Tree Problem in Graphs with Sparse Splitting Nodes
指導教授(中文):林華君
指導教授(外文):Lin, Hwa-Chun
口試委員(中文):陳俊良
蔡榮宗
口試委員(外文):Jiann-Liang Chen
Jung-Tsung Tsai
學位類別:碩士
校院名稱:國立清華大學
系所名稱:通訊工程研究所
學號:101064527
出版年(民國):103
畢業學年度:102
語文別:中文
論文頁數:83
中文關鍵詞:群播繞徑有向性Steiner樹近似演算法稀疏可分枝
外文關鍵詞:approximation algorithmsSteiner treedirected Steiner treemulticast routingsparse splitting
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本篇論文主要在探討directed Stenier tree problem(DSTP)的近似演算法,基於Charikar及T.W.Chang的演算法,加入了sparse splitting nodes的觀念,給予節點分枝限制,推導出此種狀況下l-restricted tree的bound並設計出針對以上五種演算法的sparse splitting nodes對應版本。
It researchs for approximation algorithms of directed steiner tree problem and add an idea of sparse splitting nodes.
摘要................................................................................................................................ I
目錄............................................................................................................................... II
圖目錄..........................................................................................................................IV
表格目錄......................................................................................................................VI
第一章 簡介............................................................................................................1
第二章 相關演算法................................................................................................3
2.1. Basic Definition .........................................................................................3
2.2. l-restricted tree ...........................................................................................4
2.3. Charikar’s algorithm..................................................................................5
2.4. MCAIT.......................................................................................................8
Charikar’s algorithm問題分析.....................................................8
過多的重複運算之改進概念.......9
MCAITV..................................................................................................10
Charikar’s algorithm問題分析...................................................10
()11,,iAvkX−至()1,,inAvkX−中過多的重複運算之改進概念.11
2.6. Group algorithm.......................................................................................11
第三章 Directed Steiner Tree with Sparse Splitting Nodes Problem...................13
3.1. Sparse Splitting Nodes 問題分析...........................................................13
3.2. l-restricted tree .........................................................................................13
l-restricted tree algorithm with sparse splitting nodes .................13
l-restricted tree algorithm with sparse splitting nodes .................16
3.3. CASSN.....................................................................................................24 II
3.4. CAITSSN.................................................................................................33
3.5. CAITVSSN..............................................................................................42
3.6. GAITSSN.................................................................................................52
3.7. GAITVSSN..............................................................................................60
3.8. 時間複雜度..............................................................................................68
Charikar’s algorithm時間複雜度分析.......................................68
各演算法時間複雜度比較..........................................................69
第四章 模擬與結果..............................................................................................70
4.1. 環境設定..................................................................................................70
4.2. 模擬結果與分析......................................................................................71
Edge成本為1~10的實數..........................................................71
Edge成本為1 .............................................................................76
第五章 結論..........................................................................................................81
第六章 參考文獻..................................................................................................82
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[2] M. I. Hsieh, E. H. K. Wu, and M. F. Tsai, “FasterDSP: a faster approximation algorithm for directed Steiner tree problem,” Journal Of Information Science and Engineering, vol. 22, pp. 1409–1425, 2006.
[3] Roos, S.: “Scheduling for remove and other partially connected architectures”. Laboratory of Computer Engineering, Delft University of Technology, Netherlands, 2001.
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[6] L. Zosin and S. Khuller, “On directed Steiner trees,” in ACM-SIAM Symposium on Discrete Algorithms, pp. 59-63, 2002.
[7] T. W. Chang and H. C. Lin, “Efficient Approximation Algorithms for Solving Directed Steiner Tree Problem”, Master Thesis of National Tsing Hua University Computer Science Department, 2012.
[8] A. Zelikovsky, “An 11/6-approximation Algorithm for the Network Steiner Problem,” Algorithmica, vol. 9, pp. 463–470, 1993.
[9] M. Karpinski and A. Zelikovsky, “New approximation algorithms for the Steiner tree problem,” J. Comb. Optimiz., vol. 1, pp. 1–19, 1997.
[10] C. H. Helvig, G. Robins, and A. Zelikovsky, “Improved approximation scheme for 82
the group Steiner problem”, Networks, vol. 37, no.1 , pp. 8–20, 2001.
[11] C. Chekuri, G. Even, and G. Kortsarz, “A greedy approximation algorithm for the group Steiner problem,” Discrete Applied Mathematics, vol. 154, no. 1, pp. 15–34, 2006.
[12] K. Jain, “A factor 2 approximation algorithm for the generalized Steiner network problem,” Combinatorica, vol. 21, no. 1, pp. 39–60, 2001.
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