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Java算法:圖算法(第2卷)

Java算法:圖算法(第2卷)

定 價:¥55.00

作 者: (美)Robert Sedgewick著
出版社: 清華大學(xué)出版社
叢編項:
標(biāo) 簽: 算法

ISBN: 9787302072980 出版時間: 2004-04-01 包裝: 平裝
開本: 23cm 頁數(shù): 497 字?jǐn)?shù):  

內(nèi)容簡介

  本書深入介紹了圖算法。書中分別對圖屬性和類型、圖搜索、有向圖、最小生成樹、最短路徑以及網(wǎng)絡(luò)流的有關(guān)內(nèi)容進(jìn)行了透徹的討論。在此不僅對基本內(nèi)容做了全面的闡述,而且對經(jīng)典算法也提供了詳盡的分析,同時還涵蓋了有關(guān)的高級主題。全書既強調(diào)了與實用有關(guān)的內(nèi)容,在分析和理論研究上也很有深度。另外,對于書中提供的算法,讀者可以放心地實現(xiàn)和調(diào)試,并用這些算法來解決問題。本書內(nèi)容全面、論述清晰,適合于計算機科學(xué)和數(shù)學(xué)領(lǐng)域各個層次的人員使用。

作者簡介

暫缺《Java算法:圖算法(第2卷)》作者簡介

圖書目錄

Graph Algorithms
     Chapter 17. Graph Properties and Types
    
17.1 Glossary
    
17.2 Graph ADT
    
17.3 Adjacency-Matrix Representation
    
17.4 Adjacency-Lists Representation
    
17.5 Variations, Extensions, and Costs
    
17.6 Graph Generators
    
17.7 Simple, Euler, and Hamilton Paths
    
17.8 Graph-Processing Problems
     Chapter 18. Graph Search
    
18.1 Exploring a Maze
    
18.2 Depth-First Search
    
18.3 Graph-Search ADT Methods
    
18.4 Properties of DFS Forests
    
18.5 DFS Algorithms
    
18.6 Separability and Biconnectivity
    
18.7 Breadth-First Search
    
18.8 Generalized Graph Search
    
18.9 Analysis of Graph Algorithms
     Chapter 19. Digraphs and DAGs
    
19.1 Glossary and Rules of the Game
    
19.2 Anatomy of DFS in Digraphs
    
19.3 Reachability and Transitive Closure
    
19.4 Equivalence Relations and Partial Orders
    
19.5 DAGs
    
19.6 Topological Sorting
    
19.7 Reachability in DAGs
    
19.8 Strong Components in Digraphs
    
19.9 Transitive Closure Revisited
    
19.10 Perspective
     Chapter 20. Minimum Spanning Trees
    
20.1 Representations
    
20.2 Underlying Principles of MST Algorithms
    
20.3 Prim''s Algorithm and Priority-First Search
    
20.4 Kruskal''s Algorithm
    
20.5 Boruvka''s Algorithm
    
20.6 Comparisons and Improvements
    
20.7 Euclidean MST
    
Chapter 21. Shortest Paths
    
21.1 Underlying Principles
    
21.2 Dijkstra''s Algorithm
    
21.3 All-Pairs Shortest Paths
    
21.4 Shortest Paths in Acyclic Networks
    
21.5 Euclidean Networks
    
21.6 Reduction
    
21.7 Negative Weights
    
21.8 Perspective
     Chapter 22. Network Flow
    
22.1 Flow Networks
    
22.2 Augmenting-Path Maxfiow Algorithms
    
22.3 Prefiow-Push Maxfiow Algorithms
    
22.4 Maxfiow Reductions
    
22.5 Mincost Flows
    
22.6 Network Simplex Algorithm
    
22.7 Mincost-Flow Reductions
    
22.8 Perspective
     References for Part Five
     Index

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