9.1静态查找表 9.1.1顺序表的查找 9.1.2有序表的查找 9.2动态查找表 9.2.1二叉排序树和平衡二叉树 9.2.2B_树和B+树 9.3哈希表 9.3.1什么是哈希表 9.3.2哈希函数的构造方法 9.3.3处理冲突的方法 9.3.4哈希表的查找及其分析

CHAPTER 4 Stacks and Queues SI The stack adt 1. ADT A stack is a Last-In-First-Out(LIFO)list, that is. an ordered list in which insertions and deletions are made at the top only Objects: A finite ordered list with zero or more elements

(1) Input There are zero or more quantities that are externally supplied. (2) Output At least one quantity is produced. (3) Definiteness Each instruction is clear and unambiguous. (4) Finiteness If we trace out the instructions of an algorithm, then for all cases, the algorithm terminates after finite number of steps. (5) Effectiveness Every instruction must be basic enough to be carried out, in principle, by a person using only pencil and paper. It is not enough that each operation be definite as in(3); it also must be feasible

9.1静态查找表 9.11顺序表的查找 9.12有序表的查找 9.2动态查找表 9.2.1二叉排序树和二叉平衡树 9.3哈希(Hashing)表(散列表)

一个无环的有向图叫做有向无环图, 简称DAG图 判断有向图中是否存在环的方法

一、矩阵:二维数组 二、特殊矩阵:大量重复元素或大量0元素 三、稀疏矩阵:大量0元素 四、压缩存储:重复元素只分配一个存储空间,0元素不分配存储空间

6.3.1遍历二叉树 如果按某条搜索路径巡访树中每个结点,使得每个结点均被访问一次,而且仅被访问一次

10.1 概述 10.2 插入排序 10.3 快速排序 10.4 选择排序 10.5 归并排序 10.6 基数排序 10.7 各种排序方法的综合比较 10.8 外部排序

3.2栈的应用举例 3.2.5表达式求值 算符优先法: 4+2*3-10/5=4+6-10/5=10-10/5=10-2=8 操作数(operand):进OPND栈 操作符(operator):进OPTR栈 界限符(delimiter):

一、树和森林的概念 二、二叉树(Binary Tree) 三、二叉树的表示 四、二叉树遍历(Binary Tree Traversal) 五、线索化二叉树(Threaded Binary Tree) 六、堆(Heap) 七、树与森林(Tree& Forest 八、二叉树的计数 九、霍夫曼树(Huffman Tree)