10.1 Graph representations 10.2 Breadth-first and depth-first search algorithms 10.3 Topological sort 10.4 Disjoint sets and strategy of union by rank and path compression 10.5 Minimum spanning tree 10.6 Prim's and Kruskal's algorithm 10.7 Single-source shortest-paths algorithms: breadth-first search, Dag shortest paths, Dijkstra algorithm, and Bellman-Ford algorithm 10.8 All-pairs shortest-paths algorithms: brute-force, dynamic programming, Floyd-Warshall algorithm, and Johnson algorithm 10.9 Ford-Fulkerson max-flow algorithm and Edmonds-Karp algorithm

8.1 查找的基本概念 8.2 线性表的查找 8.3 树表的查找 8.4 哈希表查找

9.1 排序的基本概念 9.2 插入排序 9.3 交换排序 9.4 选择排序 9.5 归并排序 9.6 基数排序 9.7 各种内排序方法的比较和选择

7.1 图的基本概念 7.2 图的存储结构 7.3 图的遍历 7.4 生成树

3.1 栈 3.1.1 栈的定义 3.1.2 栈的顺序存储结构及其基本运算实现 3.1.3 栈的链式存储结构及其基本运算的实现 3.2 队列 3.2.1 队列的定义 3.2.2 队列的顺序存储结构及其基本运算的实现 3.2.3 队列的链式存储结构及其基本运算的实现

6.1 Binary trees and binary search tree 6.2 Inorder, preorder, and postorder tree walk 6.3 Successor and predecessor of BST 6.4 Operations of BST: search, Minimum and maximum, constructing, deletion and insertion 6.5 Balanced search trees 6.6 AVL trees 6.7 Single and double rotation 6.8 Red-black trees 6.9 B-tree (2-3-4 tree)

◼ 基本概念 ◼ 11.1 线性索引 ◼ 11.2 静态索引 ◼ 11.3 倒排索引 ◼ 11.4 动态索引 —— B/B+树 ◼ 11.5 位索引技术 ◼ 11.6 红黑树——以前的录像

◼ 7.1 图的定义和术语 ◼ 7.2 图的抽象数据类型 ◼ 7.3 图的存储结构 ◼ 7.4 图的周游 ◼ 7.5 最短路径 ◼ 7.6 最小生成树 ◼ 7.7 图知识点总结

1. List Specifications 2. List Implementations (a). Class Templates (b). Contiguous (c). Simply Linked (d). Simply Linked with Position Pointer (e). Doubly Linked 3. Strings 4. Application: Text Editor 5. Linked Lists in Arrays 6. Application: Generating Permutations 7. Pointers and Pitfalls

1. General Binary Trees 2. Binary Search Trees 3. Building a Binary Search Tree 4. Height Balance: AVL Trees 5. Splay Trees 6. Pointers and Pitfalls