注册 | 登录读书好,好读书,读好书!
读书网-DuShu.com
当前位置: 首页出版图书教育/教材/教辅考试计算机考试Java算法:图算法(第2卷)

Java算法:图算法(第2卷)

Java算法:图算法(第2卷)

定 价:¥55.00

作 者: (美)Robert Sedgewick著
出版社: 清华大学出版社
丛编项:
标 签: 算法

ISBN: 9787302072980 出版时间: 2004-04-01 包装: 平装
开本: 23cm 页数: 497 字数:  

内容简介

  本书深入介绍了图算法。书中分别对图属性和类型、图搜索、有向图、最小生成树、最短路径以及网络流的有关内容进行了透彻的讨论。在此不仅对基本内容做了全面的阐述,而且对经典算法也提供了详尽的分析,同时还涵盖了有关的高级主题。全书既强调了与实用有关的内容,在分析和理论研究上也很有深度。另外,对于书中提供的算法,读者可以放心地实现和调试,并用这些算法来解决问题。本书内容全面、论述清晰,适合于计算机科学和数学领域各个层次的人员使用。

作者简介

暂缺《Java算法:图算法(第2卷)》作者简介

图书目录

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

本目录推荐