数据结构英文版课件Data Structures Course
数据结构课件
Lists ADT(1)
void prev(); // Move curr to prev pos void next(); // Move curr to next pos int length() const; // Return current length void setPos(int); // Set curr to position void setValue(const Elem);// Set current value Elem currValue() const; // Return current value bool isEmpty() const; // TRUE if list is empty bool isInList() const; // TRUE if curr in list bool find(int); // Find value };
List ADT(2)
void List::traverse(void (*visit)(List_entry &));
The action specified by function *visit has been performed on every entry of the List, beginning at position 0 and doing each in turn
void List::clear();
All
int List::size() const;
The
List ADT(2)
bool
List ::empty( ) const;
The
function returns true or false according to whether the List is empty or not.
数据结构与算法分析第二版英文版课件chapter5_图文共69页文档
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数据结构与算法分析第Hale Waihona Puke 版英文版课 件chapter5_图文
16、自己选择的路、跪着也要把它走 完。 17、一般情况下)不想三年以后的事， 只想现 在的事 。现在 有成就 ，以后 才能更 辉煌。
18、敢于向黑暗宣战的人，心里必须 充满光 明。 19、学习的关键--重复。
20、懦弱的人只会裹足不前，莽撞的 人只能 引为烧 身，只 有真正 勇敢的 人才能 所向披 靡。
61、奢侈是舒适的，否则就不是奢侈 。—— CocoChanel 62、少而好学，如日出之阳；壮而好学 ，如日 中之光 ；志而 好学， 如炳烛 之光。 ——刘 向 63、三军可夺帅也，匹夫不可夺志也。 ——孔 丘 64、人生就是学校。在那里，与其说好 的教师 是幸福 ，不如 说好的 教师是 不幸。 ——海 贝尔 65、接受挑战，就可以享受胜利的喜悦 。—— 杰纳勒 尔·乔治 ·S·巴 顿
Data Structure.ppt
n->+∞， T(n)的数量级称为渐进时间复杂
度，记作
T(n)=O(f(n))
渐进时间复杂度是算法的时间性能主要评价 标准
例２ {temp=i;j=j;j=temp} 语句频度为１，即时间复杂度为Ｏ(1)
例３、for(i=1;i<n+1;++i) {++x;s+=x;}
语句频度为：2n 其时间复杂度为：O(n) 即时间复杂度为线性阶。
数据结构在各种软件系统中所起的作用
程序=算法+数据结构★
选择合适的数据结构是解决应用问题的关 键步骤
例1、电话号码查询系统
设有一个电话号码薄，它记录了N个人的名字 和其相应的电话号码，假定按如下形式安排：
(a1，b1)(a2，b2)…(an，bn) 其中ai，bi(i=1，2…n) 分别表示某人的名字
数据结构的逻辑结构，简称数据结构
数据之间的相互关系称为逻辑结构。通常分为2 类基本结构： 一、线性结构 结构中的数据元素之间存在一 对一的关系。（1-4章） 二、非线性结构 结构中的数据元素之间存 在一对多的关系（5-7章）
学生成绩表数据结构
直接前趋 直接后趋 开始结点 终端结点
结点间的关系构成了逻辑结构 计算机如何表示各结点间的关系？ 如何进行查找、删除、插入等数学运算？
主要内容
1.2 数据结构及计算机系统中作用 （记） 1.1 基本概念和术语（记） 1.3 算法描述和分析 （领会）
重点：数据结构的逻辑结构、存储结构及数 据运算的概念和关系
难点：算法复杂度分析
1.2数据结构
计算机是一门研究用计算机进行信息表示和 处理的科学。这里面涉及到两个问题：
数据结构英文教程
数据结构英文教程Data structures are an essential concept in computer science. 数据结构在计算机科学中是一个基本概念。
They are used to organize, store, and manipulate data efficiently. 它们用于高效地组织、存储和操作数据。
By understanding different data structures, programmers can optimize their algorithms and improve the performance of their applications. 通过了解不同的数据结构，程序员可以优化他们的算法，并提高他们应用程序的性能。
There are various types of data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. 有各种各样的数据结构，比如数组、链表、栈、队列、树和图。
Each type has its own strengths and weaknesses, making them suitable for different tasks. 每种类型都有其优点和缺点，使它们适用于不同的任务。
One of the most basic data structures is an array. Arrays are used to store a collection of elements of the same data type in contiguous memory locations. 一个最基本的数据结构是数组。
数组用于在连续内存位置中存储相同数据类型的元素的集合。
They provide fast access to elements based on their index and are suitable for tasks that require random access to elements. 它们根据索引快速访问元素，适用于需要对元素进行随机访问的任务。
数据结构英语介绍
数据结构英语介绍IntroductionData structures refer to the different ways data can be organized, stored, and manipulated to facilitate efficient access and modification. Data structures play a crucial role in computer science and programming, as they provide developers with a foundation for building efficient and robust software systems. In this article, we will explore the essential concepts of data structures, including their types, operations, and applications.Types of Data StructuresData structures can be broadly classified into two categories: primary and secondary data structures. Primary data structures are the fundamental building blocks of more complex structures and include arrays, linked lists, stacks, queues, and trees. Secondary data structures, on the other hand, are derived from primary structures and are used to implement advanced algorithms. Examples of secondary data structures are heaps, graphs, and hash tables.Operations on Data StructuresThe most common operations performed on data structures include insertion, deletion, traversal, and searching. Insertion involves adding new data to the structure, deletion entails removing data from the structure, traversal refers to visiting each element in the structure systematically, and searching involves locating specific elements within the structure.Applications of Data StructuresData structures are widely used in various areas of computer science and computer programming. In software development, data structures are used to build efficient algorithms for solving complex problems such as sorting, searching, and graph traversal. In database management systems, data structures are used to represent and organize data in tables, indexes, and other structures. In networking and telecommunications, data structures are used to represent data packets in a way that facilitates efficient routing and processing.ConclusionData structures are a critical component of computer science and programming, enabling developers to manipulate data in an efficient and organized manner. Understanding the types of data structures, their operations, and applications is essential for developing robust software systems and solving complex problems. This article has provided a brief overview of the essential concepts of data structures, but further study and practice are necessary to master the subject.。