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数据结构——用C语言描述(第3版)教学课件第3章 栈和队列

数据结构——用C语言描述(第3版)教学课件第3章 栈和队列

if(S->top==-1) /*栈为空*/
return(FALSE);
else
{*x = S->elem[S->top];
return(TRUE);
}
返回主目录}[注意]:在实现GetTop操作时,也可将参数说明SeqStack *S 改为SeqStack S,也就是将传地址改为传值方式。传 值比传地址容易理解,但传地址比传值更节省时间、 空间。
返回主目录
算法:
void BracketMatch(char *str) {Stack S; int i; char ch; InitStack(&S); For(i=0; str[i]!='\0'; i++) {switch(str[i])
{case '(': case '[': case '{':
3.1.3 栈的应用举例
1. 括号匹配问题
思想:在检验算法中设置一个栈,若读入的是左括号, 则直接入栈,等待相匹配的同类右括号;若读入的是 右括号,且与当前栈顶的左括号同类型,则二者匹配, 将栈顶的左括号出栈,否则属于不合法的情况。另外, 如果输入序列已读尽,而栈中仍有等待匹配的左括号, 或者读入了一个右括号,而栈中已无等待匹配的左括 号,均属不合法的情况。当输入序列和栈同时变为空 时,说明所有括号完全匹配。
return(TRUE);
}
返回主目录
【思考题】
如果将可利用的空闲结点空间组织成链栈来管理,则申 请一个新结点(类似C语言中的malloc函数)相当于链 栈的什么操作?归还一个无用结点(类似C语言中的 free函数)相当于链栈的什么操作?试分别写出从链栈 中申请一个新结点和归还一个空闲结点的算法。

堆、栈的概念与理解

堆、栈的概念与理解

1、从数据结构层次理解,栈是一种先进后出的线性表,只要符合先进后出的原则的线性表都是栈。至于采用的存储方式(实现方式)是顺序存储(顺序栈)还是链式存储(链式栈)是没有关系的。堆则是二叉树的一种,有最大堆最小堆,排序算法中有常用的堆排序。
2、从系统层次理解,栈是系统为运行的程序分配的先进后出的存储区域。在学习bootloader时知道,在上电后初始化阶段要为各个工作模式下分配堆 栈,这里的堆栈实际上就是指stack,堆栈的说法只是因为历史的原因。在执行函数时,函数内部局部变量的存储单元可以在栈上创建(针对CISC架构而 言,RISC架构下,局部变量的存储单元是在寄存器上创建),函数执行结束时这些存储单元自动被释放。堆是系统管理的可以被程序利用的全局存储空间,动态 内存分配就是从堆上分配。
什么是堆什么是栈
一 英文名称
堆和栈是C/C++编程中经常遇到的两个基本概念。先看一下它们的英文表示:
堆――heap
栈――stack
二 从数据结构和系统两个层次理解
在具体的C/C++编程框架中,这两个概念并不是并行的。深入到汇编级进行研究就会发现,栈是机器系统提供的数据结构,而堆是由C/C++函数库提供的。这两个概念可以从数据结构和系统两个层次去理解:
具体地说,现在计算机(串行执行机制),都直接在代码层次支持栈这种数据结构。这体现在,有专门的寄存器指向栈所在的地址,有专门的机器指令完成数据入栈 出栈的操作。比如ARM指令中的stmfd和ldmfd。因为栈内存分配运算内置于处理器的指令集中,所以效率很高,但是支持的数据有限,一般是整数、指 针、浮点数等系统直接支持的数据类型,并不直接支持其他的数据结构。在CISC中,对子程序的调用就是利用栈来完成的。C/C++中的自动变量也是直接利 用栈的例子,这就是为什么当函数返回时,该函数的自动变量失效的原因(因为栈恢复了调用前的状态)。在RISC下,这些都是通过寄存器来完成的。这些留待 第二部分总结中详细阐述。

数据结构 外文翻译 外文文献 英文文献

数据结构 外文翻译 外文文献 英文文献

外文翻译原文Computer programming data structure is an important theoretical basis for the design, it is not only the core curriculum of computer disciplines, and has become a popular elective course other Polytechnic professional, so studied this course well and studied computer are closely related.一、the concept of data structureComputer data structure is the foundation of science and technology professional classes, is the essential core curriculum. All computer system software and application software to use various types of data structures. Therefore, if we want to make better use of computers to solve practical problems, only to several computer programming languages are difficult to cope with the many complex issues. To the effective use of computers, give full play to computer performance, but also must learn and master relevant knowledge of data structure. A solid foundation of "data structure"for learning other computer professional courses, such as operating systems, translation theory, database management systems, software engineering, artificial intelligence, etc. are very useful.二、why should learn from data structure?In the early development of computers, the use of computer designed primarilyto deal with terms. When we use the computer to solve a specific problem, the following general needs through several steps : the first is a specific problem of appropriate abstract mathematical models, and then design or choose a mathematical model of the algorithm,the final procedures for debugging, testing, until they have the ultimate answer.Since then the object is INTEGER, REAL, BOOLEAN, the procedures of the main designers of energy is focused on programming skills, without attention to the data structure. With the expansion of computer applications and development of software and hardware, the issue of non-terms increasing importance. According to statistics, Now dealing with the issue of non-occupancy of more than 90% of the machine time. Such issues involve more complex data structure, the relationshipsbetween data elements generally can not be described by mathematical formula. Therefore, the key to solving such problems is no longer mathematical analysis and calculations, but to devise appropriate data structure, can effectively address the problem.Description of the terms of such non-mathematical model is not a mathematical equation, but such as tables, trees, such as map data structure. Therefore, it can be said that data structure courses primarily designed to study the issue of non-value calculation procedures as a computer operations and the relationship between objects and their operating disciplines.The purpose of the study is to understand the structure of data for computer processing of the identity object to the practical problems involved in dealing with that subject at the computer out and deal with them. At the same time, through training algorithms to improve the thinking ability of students through procedures designed to promote student skills integrated applications and professional qualities.三、the concepts and terminologySystematic study of knowledge in the data structure before some of the basic concepts and terminology to give a precise meaning.Data (Data) is the information carrier, it could be computer identification, storage and processing. It is the computer processing of raw materials, a variety of data processing applications. Computer science, computer processing is the so-called data objects, which can be numerical data can be non - numerical data. Numerical data are integer, the actual number or plural, mainly for engineering computing, scientific computing and commercial processing; Non - numerical data, including characters, text, graphics, images, voice and so on.Data elements (Data Element) is the basic unit of data. In different conditions, data elements can be called elements, nodes, the peak, recording. For example, students information retrieval system table information, a record high, 8 Queen's issue of a state tree, teaching programming issues such as a peak, known as a data element. Sometimes, a data from a number of data elements (Data Item), for example, the student information management system students each data element table is a studentrecord. It includes students of the school, name, sex, nationality, date of birth, performance data items. These data items can be divided into two types : one called early such as student gender, origin, etc., these data were no longer divided in data processing, the smallest units; Another called portfolio, the performance of students who, it can be divided into mathematics, physics, chemistry and other smaller items. Normally, in addressing the question of the practical application of each student is recorded as a basic unit for a visit and treatment.Data objects (Data Object) or data element type (Data Element Class) is the nature of the data elements with the same pool. In a specific issue, the data elements have the same nature (not necessarily equal value elements), belonging to the same data objects (data element type), the data element is an example of such data elements. For example, traffic information systems in the transportation network, is a culmination of all the data elements category, peak a and B each represent an urban middle is the data elements of the two types of examples of the value of their data elements a and B respectively.Data structure (Data Structure) refers to the mutual relationship that exists between one or more data elements together. In any case, between data elements will not be isolated in between them exist in one way or another, such as the relationship between the data element structure. According to the data elements of the relationship between different characteristics, usually have the following four basic categories of the structure :1 assembly structures. In the assembly structure, the relationship between data elements is "belonging to the same pool." Assembly elements relations is a very loose structure.2 linear structures. The structure of the data elements exist between one-to-one relationship.3 tree structure. The structure of the data elements exist between hierarchical relationship.4graphics structure. The structure of the data elements of the relationship that existed between Duoduiduo, graphics structure also known as network structure.C++Builder programming experience一、Database programmingAnd the use of Delphi, Borland C++Builder BDE (Borland Database Engine) database interface, in particular its use BDE Administrator unified management database alias, the database operation has nothing to do with the location of the database documents, thus enabling database development easier operation. But in a database application procedures at the same time we have to "release" BDE, the database for some simple procedures may BDE than our own design procedures big, but as the use of BDE InstallShield, add database alias is likely allocation failure. Therefore, we can use the following methods : still in the design stage procedure using BDE alias management database for debugging, but in procedures substantially (as in the main Chuangti OnCreate event processing function) to Table components DatabaseName attributes, such as the use of similar phrases as follows :Table1->DatabaseName = ExtractFilePath (Application->ExeName); OrTable1->DatabaseName= ExtractFilePath (Application->ExeName+ "DB");Thus, no impact on the debugging phase, will be issued if the application procedures Table1 document on the use of databases or their current catalogue "DB" virus, database procedures can be normal operation. You can even be a database to catalogue the documents in the form of character string Register (installed in the installation process), then the procedure in the acquisition of substantially from the catalogue of payrolls, Fuzhi DatabaseName attribute to be. Anyway, you do not need to install relatively large BDE forced users.二、the Registry visitAs in the design process we often required 9x/NT Windows Registry information visit, such as retrieval of information procedures, preservation of information. Register write a subroutine to visit necessary. When the Register to visit, the library will be directly available without always some duplication operation. The following can be used to access cosmetic Licheng, the character string type Jianzhi, and the retrieval of failure to return default value Default.#include < Registry.hpp >int ReadIntFromReg(HKEY Root, AnsiString Key, AnsiString KeyName, int Default) {int KeyValue;TRegistry *Registry = new TRegistry();Registry->RootKey = Root;Registry->OpenKey(Key, false);try {KeyValue = Registry->ReadInteger(KeyName);}catch(...) {KeyValue = Default;}delete Registry;return KeyValue;}void SaveIntToReg(HKEY Root, AnsiString Key, AnsiString KeyName, int KeyValue) {TRegistry *Registry = new TRegistry();Registry->RootKey = Root;Registry->OpenKey(Key, true);Registry->WriteInteger(KeyName, KeyValue);delete Registry;}char *ReadStringFromReg(HKEY Root, AnsiString Key, AnsiString KeyName, char *Default) {AnsiString KeyValue;TRegistry *Registry = new TRegistry();Registry->RootKey = Root;Registry->OpenKey(Key, false);try {KeyValue = Registry->ReadString(KeyName);}catch(...) {KeyValue = (AnsiString)Default;}delete Registry;return KeyValue.c_str();}void SaveStringToReg(HKEY Root, AnsiString Key,AnsiString KeyName, char *KeyValue) {TRegistry *Registry = new TRegistry();Registry->RootKey = Root;Registry->OpenKey(Key, true);Registry->WriteString(KeyName, (AnsiString)KeyValue);delete Registry;}We may use the following access methods (to Windows wallpaper documents) : AnsiString WallPaperFileName =ReadStringFromReg(HKEY_CURRENT_USER,"\\Control Panel\\Desktop", "Wallpaper", "");三、show / hide icons task columnStandard Windows applications generally operating in the mission mandate column on the chart shows, users can directly use the mouse clicking column logo for the mission task cut over, but some applications do not use task column signs, such as the typical Office tools, There are also procedures that can be shown or hidden customization tasks column icon, such as Winamp. We can do the procedure, as long as access Windows SetWindowLong function can drive, as follows : // hidden task column chart :SetWindowLong (Application->Handle.GWL_EXSTYLE, WS_EX_TOOLWINDOW);// task column shows signs :SetWindowLong (Application->Handle.GWL_EXSTYLE, WS_EX_APPWINDOW);四、the establishment of a simple "on" windowA complete Windows applications typically contain a "on the" window to show version information. We customized a dialog box as usual "on the" window of the "on" free customized window, indicates that more information, even including super links. If only show simple version information,Windows ShellAbout function shelf items have sufficient, following this line of code can be "on" Duihuakuang and is Windows standard "on the" Duihuakuang and procedures may show signs such as the use of resources and systems.ShellAbout (Handle, ( "on" +Application->Title+ "#"). C_str ()( "\n"+Application->Title+ "V1.0\n\n" + "夏登城版权所有!"). C_str ()Application->Icon->Handle);五、the two methods to choice catalogueIn our applications, allowing users to choose the regular catalogue, such as software manufacturers, users choose catalogue. This involves catalogue option, we may use the following methods for users to choose one of the catalogue : 1, use SHBrowseForFolder and SHGetPathFromIDList function; Company affirms its function as follows :WINSHELLAPI LPITEMIDLIST WINAPISHBrowseForFolder(LPBROWSEINFO lpbi); WINSHELLAPI BOOL WINAPI SHGetPathFromIDList(LPCITEMIDLIST pidl, LPSTR pszPath); LPBROWSEINFO 和LPITEMIDLIST structure refer Win32 files. This method of selecting catalogues available Windows desktop all available inventory, including networks of other computers sharing catalogue neighbors, but not the new catalogue. Li Cheng allows users to choose the following directory, the directory of choice Licheng return at all trails character string.#include < shlobj.h >char *GetDir(char *DisplayName, HWND Owner) {char dir[MAX_PATH] = "";BROWSEINFO *bi = new BROWSEINFO;bi->hwndOwner = Owner;bi->pidlRoot = NULL;bi->pszDisplayName = NULL;bi->lpszTitle = DisplayName;bi->ulFlags = BIF_RETURNONLYFSDIRS;bi->lpfn = NULL;bi->lParam = NULL;bi->iImage = 0;ITEMIDLIST *il = SHBrowseForFolder(bi);if(il!=NULL) {SHGetPathFromIDList(il, dir);}delete bi;return dir;}We can use the following list to be chosen from :AnsiString at Dir = (AnsiString) GetDir ( "Please select catalogue :" Handle);2, the use of SelectDirectory function. C++Builder the function SelectDirectory achievable catalogue of options, which showed that similar "open" / "preserve" Duihuakuang, but its advantage is to use / non-use keyboard input catalogue members, and allow the creation of new directories. Its original definition as follows : Extern package bool __fastcall SelectDirectory (AnsiString &Directory, TSelectDirOpts Options, 103-116 HelpCtx);Licheng SelectDir allow you to choose the following directory :#include < FileCtrl.hpp >AnsiString SelectDir(AnsiString Dir) {if(SelectDirectory(Dir, TSelectDirOpts()<< sdAllowCreate << sdPerformCreate << sdPrompt,0))return Dir;elsereturn "";}for the following redeployed to the users choice catalogue :AnsiString SelectedDir = SelectDir ( "C:\\My Documents");外文翻译译文数据结构是计算机程序设计的重要理论设计基础,它不仅是计算机学科的核心课程,而且已成为其他理工专业的热门选修课,所以学好这门课程是与学好计算机专业是息息相关的。

数据结构英语作文加翻译

数据结构英语作文加翻译

数据结构英语作文加翻译Title: The Importance of Data Structures in Computer Science。

Data structures play a crucial role in the field of computer science. They are fundamental concepts that enable efficient storage, retrieval, and manipulation of data in computer programs. In this essay, we will explore the significance of data structures, their types, and their applications in various domains.Firstly, let us delve into the importance of data structures. In computer science, data is the foundation of every software application. However, raw data alone is not sufficient; it needs to be organized in a structured manner to be processed efficiently. Here comes the role of data structures. They provide a way to organize and store datain such a way that it can be easily accessed and manipulated. By choosing appropriate data structures, programmers can optimize the performance of theiralgorithms, leading to faster execution times and more efficient resource utilization.There are several types of data structures, each with its unique characteristics and use cases. One of the most basic data structures is the array, which stores elements of the same type in contiguous memory locations. Arrays are widely used due to their simplicity and constant-time access to elements. Another commonly used data structure is the linked list, which consists of nodes where each node contains a data field and a reference (or pointer) to the next node in the sequence. Linked lists are efficient for insertion and deletion operations but may have slower access times compared to arrays.Apart from arrays and linked lists, there are more complex data structures such as stacks, queues, trees, and graphs. Stacks follow the Last-In-First-Out (LIFO)principle and are often used in algorithms involving function calls, expression evaluation, and backtracking. Queues, on the other hand, adhere to the First-In-First-Out (FIFO) principle and are commonly used in scenarios liketask scheduling, job processing, and breadth-first search algorithms. Trees are hierarchical data structures consisting of nodes connected by edges, with a root node at the top and leaf nodes at the bottom. They are utilized in applications like hierarchical data storage, binary search trees, and decision trees. Graphs are collections of nodes (vertices) and edges connecting these nodes, and they find applications in various fields such as social networks, routing algorithms, and network flow optimization.Now, let's discuss the applications of data structures across different domains. In software development, data structures are extensively used in designing databases, implementing algorithms, and building user interfaces. For example, databases rely on data structures like B-trees and hash tables for efficient storage and retrieval of information. In algorithm design, efficient data structures are crucial for optimizing time and space complexity. Many popular algorithms such as sorting, searching, and graph traversal algorithms heavily rely on data structures for their implementation. Moreover, in user interface development, data structures like trees and graphs are usedto represent the hierarchical structure of UI components and their relationships.In addition to software development, data structures find applications in fields like artificial intelligence, bioinformatics, and computational biology. In artificial intelligence, data structures are used to represent knowledge, make decisions, and solve complex problems. For instance, knowledge graphs are used to represent relationships between entities in a knowledge base, while decision trees are employed in decision-making processes. In bioinformatics and computational biology, data structures are used to store and analyze biological data such as DNA sequences, protein structures, and metabolic pathways. Efficient data structures and algorithms are essential for tasks like sequence alignment, genome assembly, and protein folding prediction.In conclusion, data structures are the building blocks of computer science. They enable efficient storage, retrieval, and manipulation of data in computer programs, leading to faster execution times and more efficientresource utilization. With various types of data structures available and their applications spanning across different domains, it is evident that a solid understanding of data structures is essential for every computer scientist and software developer. By mastering data structures and their applications, programmers can write more efficient and scalable software solutions, thereby advancing the field of computer science as a whole.(翻译)。

数据结构专业英语词汇汇总

数据结构专业英语词汇汇总

数据结构专业英语词汇汇总
- Data structure: 数据结构
- Array: 数组
- Linked list: 链表
- Stack: 栈
- Queue: 队列
- Binary tree: 二叉树
- AVL tree: AVL树 (一种自平衡二叉查找树)
- Red-black tree: 红黑树 (一种自平衡二叉查找树)
- Hash table: 哈希表
- Graph: 图
- Vertex: 顶点
- Edge: 边
- Adjacency list: 邻接表 (一种表示图的数据结构)
- Adjacency matrix: 邻接矩阵 (一种表示图的数据结构) - Heap: 堆
- Binary heap: 二叉堆 (一种特殊的堆数据结构)
- Priority queue: 优先队列 (用堆实现的一种队列)
- Trie: 字典树 (一种用于快速检索的树形数据结构)
- Big O notation: 大O符号 (一种表示算法时间复杂度的记号) - Sorting algorithm: 排序算法
- Searching algorithm: 算法
- Abstract data type (ADT): 抽象数据类型
- Hashing: 哈希函数的计算过程
- Collision: 哈希冲突 (发生在两个不同的键值被映射到相同的哈希桶时)。

编译技术中常用的数据结构

编译技术中常用的数据结构

编译技术中常用的数据结构一、线性表线性表是编译技术中常用的数据结构之一,它是一种能够按照线性顺序存储数据元素的数据结构。

线性表可以通过顺序存储结构或链式存储结构来实现。

1. 顺序存储结构顺序存储结构是将线性表的元素按照顺序存储在一块连续的存储空间中。

在编译技术中,顺序存储结构常用于存储符号表、常量表等数据结构。

通过数组来实现顺序存储结构,可以快速访问线性表的任意位置元素。

2. 链式存储结构链式存储结构是通过节点之间的指针链接来实现线性表的存储。

在编译技术中,链式存储结构常用于存储中间代码、语法树等数据结构。

链式存储结构灵活性较高,可以动态地分配和释放存储空间。

二、栈栈是一种具有后进先出(LIFO)特性的线性表。

在编译技术中,栈常用于处理函数调用、表达式求值等场景。

栈的基本操作包括入栈和出栈。

入栈将元素压入栈顶,出栈将栈顶元素弹出。

编译技术中,栈还常用于处理函数的局部变量、函数的三、队列队列是一种具有先进先出(FIFO)特性的线性表。

在编译技术中,队列常用于处理优化算法、指令调度等场景。

队列的基本操作包括入队和出队。

入队将元素插入队尾,出队将队头元素移除。

编译技术中,队列还常用于处理指令流水线、任务调度等问题。

四、树树是一种非线性的数据结构,它由若干个节点组成,节点之间通过边连接。

在编译技术中,树常用于构建语法树、抽象语法树等数据结构。

树的基本概念包括根节点、叶子节点和内部节点。

树的遍历方式有前序遍历、中序遍历和后序遍历。

编译技术中,树的遍历常用于语法分析、语义分析等阶段。

五、图图是一种由节点和边组成的非线性数据结构。

在编译技术中,图常用于构建控制流图、数据依赖图等数据结构。

图的基本概念包括顶点、边和路径。

图可以分为有向图和无向图,还可以带有权重。

编译技术中,图的遍历常用于寻找程序中的循环、六、哈希表哈希表是一种通过哈希函数将关键字映射到存储位置的数据结构。

在编译技术中,哈希表常用于符号表、常量表等数据结构。

数据结构栈和队列ppt课件

数据结构栈和队列ppt课件

栈的运用 例3.1 将一个十进制正整数N转换成r进制的数
N 〕
1835
229
28
3
N / 8 〔整除〕 N % 8〔求余
229
3

28
5
3
4
0
3

❖例3.2 算术表达式中括号匹配的检查
❖用栈来实现括号匹配检查的原那么是,对表达式从左 到右扫描。
❖〔1〕当遇到左括号时,左括号入栈;
❖〔2〕当遇到右括号时,首先检查栈能否空,假设栈 空,那么阐明该“右括弧〞多余;否那么比较栈顶左 括号能否与当前右括号匹配,假设匹配,将栈顶左括 号出栈,继续操作;否那么,阐明不匹配,停顿操作 。
❖在顺序栈上实现五种根本运算的C函数 ❖〔3〕入栈 ❖int push (SeqStack *s, DataType x) ❖{ if (s->top==MAXSIZE-1) /*栈满不能入栈*/ ❖{ printf("overflow"); ❖return 0; ❖} ❖ s->top++; ❖ s->data[s->top]=x; ❖ return 1; ❖}
链队列及运算的实现
采用链接方法存储的队列称为链队列〔Linked Queue〕
采用带头结点的单链表来实现链队列,链队列中 的t结ype点de类f st型ruc与t N单od链e 表一样。将头指针front和尾指针 re{arD封at装aTy在pe一da个ta;构造体中,链队列用C言语描画如 下:struct Node *next;
❖只设了一个尾指针r ❖头结点的指针,即r->next ❖队头元素的指针为r->next->next ❖队空的断定条件是r->next==r

计算机专业常用英语

计算机专业常用英语
17
10. local a. 局部;本地[机]
localhost 本(主)机
比较 remote a. 远程 remote access 远程访问 remote communications 远程通信 remote terminal 远程终端
11. ring network 环形网络 ring topology 环形拓扑
4
比较 model 模型 module 模块 modulo 模(运算)
11. opcode 操作码( operation code ) 12. decode v. 译码
decoder 译码器,解码器,翻译程序
5
2.2 Microprocessor And Microcomputer
1. integrated circuit 集成电路
8. library (程序)库,库
16
9. single threading 单线程处理方式
Within a program, the running of a single process at a time. 在程序中,一次运行一个进程的方式。
single-precision 单精度 single-user computer 单用户计算机 thread 线程;线索 threaded tree 线索树 threading 线程技术
11
16. idle a. 空闲,等待
Operational but not in use. 用来说明处在可操作状态但不在使用。 idle state 空闲状态
12
18. launch v. 启动,激活 19. prototyping 原型法 20. project n. 投影运算 21. workstation 工作站

数据结构基本英语词汇大全

数据结构基本英语词汇大全

数据结构基本英语词汇大全以下是一些常见的数据结构基本英语词汇:1. Data structure - 数据结构2. Array - 数组3. Linked list - 链表4. Stack - 栈5. Queue - 队列6. Tree - 树7. Binary tree - 二叉树8. Binary search tree - 二叉树9. AVL tree - 平衡二叉树10. Heap - 堆11. Graph - 图12. Hash table - 哈希表13. Set - 集合14. Bag/Stack - 背包/堆栈15. Priority queue - 优先队列16. Graph traversal - 图遍历17. Depth-first search (DFS) - 深度优先18. Breadth-first search (BFS) - 广度优先19. Sorting algorithm - 排序算法20. Bubble sort - 冒泡排序21. Insertion sort - 插入排序22. Selection sort - 选择排序23. Merge sort - 归并排序24. Quick sort - 快速排序25. Hashing - 哈希算法26. Search algorithm - 算法27. Linear search - 线性28. Binary search - 二分29. Graph algorithms - 图算法30. Dijkstra's algorithm - 迪杰斯特拉算法31. Prim's algorithm - 普里姆算法32. Kruskal's algorithm - 克鲁斯克尔算法33. Depth-first search (DFS) - 深度优先34. Breadth-first search (BFS) - 广度优先35. Dynamic programming - 动态规划。

堆、栈、BSS、Data、code区、静态存储区、文字常量区

堆、栈、BSS、Data、code区、静态存储区、文字常量区

堆、栈、BSS、Data、code区、静态存储区、⽂字常量区在计算机领域,堆栈是⼀个不容忽视的概念,但是很多⼈甚⾄是计算机专业的⼈也没有明确堆栈其实是两种数据结构。

要点:堆:顺序随意栈:先进后出堆和栈的区别⼀、预备知识—程序的内存分配⼀个由c/C++编译的程序占⽤的内存分为以下⼏个部分1、栈区(stack)— 由编译器⾃动分配释放,存放函数的参数值,局部变量的值等。

其操作⽅式类似于数据结构中的栈。

2、堆区(heap) — ⼀般由程序员分配释放,若程序员不释放(就会造成内存泄漏的问题),程序结束时可能由OS回收。

注意它与数据结构中的堆是两回事,分配⽅式倒是类似于链表,呵呵。

3、全局区(静态区)(static)—,全局变量和静态变量的存储是放在⼀块的,初始化的全局变量和静态变量在⼀块区域(data),未初始化的全局变量和未初始化的静态变量在相邻的另⼀块区域(BSS,Block Started by Symbol)。

- 程序结束后有系统释放(在整个程序的执⾏过程中都是有效的)4、⽂字常量区 —常量字符串就是放在这⾥的。

程序结束后由系统释放 (⽂字常量区内的数据可以修改吗?)5、程序代码区(code)—存放函数体的⼆进制代码。

⼆、例⼦程序这是⼀个前辈写的,⾮常详细//main.cppint a = 0; 全局初始化区char *p1; 全局未初始化区main(){int b; 栈char s[] = "abc"; 栈 //abc是在栈⾥⾯,⽽下⾯的123456/0却在在常量区内,要注意这两种情况的区别char *p2; 栈char *p3 = "123456"; 123456/0在常量区,p3在栈上。

static int c =0;全局(静态)初始化区p1 = (char *)malloc(10);p2 = (char *)malloc(20);分配得来得10和20字节的区域就在堆区。

数据结构教学大纲

数据结构教学大纲

《数据结构》课程教学大纲一、课程基本概况课程名称:数据结构课程名称(英文):Data Structure课程编号:课程总学时:64(理论课50 ,实验课14 )课程学分:4课程分类:必修开设学期:第5学期适用专业:计算机网络工程先修课程:《集合论》、《图论》和《高级语言(结构或记录,指针)》。

后续课程:《数据库》、《编译原理》、《操作系统》等二、课程性质、目的和任务本课程系统地介绍线性表、栈、队列、字符串、数组、广义表、树、二叉树、图、查找表等几种数据结构的基本概念、操作及其典型应用的例子,通过课堂教学、课外练习和上机实习,使学生了解数据对象的特性,数据组织的基本方法,并初步具备分析和解决现实世界问题在计算机中如何表示和处理的能力以及培养良好的程序设计技能,为后续课程的学习和科研工作的参与打下良好的基础。

三、主要内容、重点及难点(一)理论部分第一章绪论基本要求:掌握相关的基本概念,算法五大要素,计算语句频度和估算算法时间复杂度的方法。

知识点:1.数据结构的基本概念2. 算法设计3.时间和空间复杂度第二章线性表基本要求:掌握线性表的逻辑结构,线性表的存储结构,线性表在顺序结构和链式结构上实现基本操作的方法,从时间和空间复杂度的角度比较线性表两种存储结构的不同特点及其适用场合。

知识点:1.线性表的逻辑结构2.线性表的存储结构及操作的实现3.一元多项式的表示4.习题讨论课第三章栈和队列基本要求:掌握栈和队列的特点,在两种存储结构上栈的基本操作的实现;熟练掌握循环队列和链队列的基本运算,掌握递归算法执行过程中栈状态的变化过程。

知识点:1.栈的定义、表示及实现2.表达式求值3.栈与递归过程4.队列的定义、表示及实现5.习题讨论课第四章串基本要求:掌握串的七种基本运算的定义,利用这些基本运算来实现串的其它各种运算的方法;掌握在顺序存储结构上实现串的各种操作的方法,KMP算法,熟悉NEXT函数和改进NEXT函数的定义和计算;理解串名的存储映象和在堆存储结构实现串操作的方法。

信息学奥赛 数据结构教程 PASCAL版

信息学奥赛 数据结构教程 PASCAL版

全国青少年信息学奥林匹克联赛数据结构——堆栈和队列一、堆栈1.概述栈(stack)是一种特殊的线性表。

作为一个简单的例子,可以把食堂里冼净的一摞碗看作一个栈。

在通常情况下,最先冼净的碗总是放在最底下,后冼净的碗总是摞在最顶上。

而在使用时,却是从顶上拿取,也就是说,后冼的先取用,后摞上的先取用。

好果我们把冼净的碗“摞上”称为进栈,把“取用碗”称为出栈,那么,上例的特点是:后进栈的先出栈。

然而,摞起来的碗实际上是一个表,只不过“进栈”和“出栈”,或者说,元素的插入和删除是在表的一端进行而已。

一般而言,栈是一个线性表,其所有的插入和删除均是限定在表的一端进行,允许插入和删除的一端称栈顶(Top),不允许插入和删除的一端称栈底(Bottom)。

若给定一个栈S=(a1, a2,a3,…,an),则称a1为栈底元素,an为栈顶元素,元素ai位于元素ai-1之上。

栈中元素按a1, a2,a3,…,an 的次序进栈,如果从这个栈中取出所有的元素,则出栈次序为an, an-1,…,a1 。

也就是说,栈中元素的进出是按后进先出的原则进行,这是栈结构的重要特征。

因此栈又称为后进先出(LIFO—Last In First Out)表。

我们常用一个图来形象地表示栈,其形式如下图:通常,对栈进行的运算主要有以下几种:(1)往栈顶加入一个新元素,称进栈;(2)删除栈顶元素,称退栈;(3)查看当前的栈顶元素,称读栈。

此外,在使用栈之前,首先需要建立一个空栈,称建栈;在使用栈的过程中,还要不断测试栈是否为空或已满,称为测试栈。

2.栈的存储结构栈是一种线性表,在计算机中用向量作为栈的存储结构最为简单。

因此,当用编程语言写程序时,用一维数组来建栈十分方便。

例如,设一维数组STACK[1..n] 表示一个栈,其中n为栈的容量,即可存放元素的最大个数。

栈的第一个元素,或称栈底元素,是存放在STACK[1]处,第二个元素存放在STACK[2]处,第i个元素存放在STACK[i]处。

C++数据结构 第1章 栈(C++版)

C++数据结构 第1章  栈(C++版)

case '-':number[p]-=number[p + 1];break; case '*':number[p]*=number[p + 1];break; case '/':number[p]/=number[p + 1];break; } } bool can() //判断运算符的优先级别,建立标志函数 { if ((s[i]=='+'||s[i]=='-')&&symbol[p]!='(') return 1; if ((s[i]=='*'||s[i]=='/')&&(symbol[p]=='*'||symbol[p]=='/'))return 1; return 0; } main() { printf("String :");gets(s); s[strlen(s)]=')';symbol[p]='('; while (i<strlen(s))
main() { ("input a string(@_over):"); gets(s); printf("result=%d",comp(s)); system("pause"); return 0; }
栈的用途极为广泛,在源程序编译中表达式的计算、过程的嵌套调用和递 归调用等都要用到栈,下面以表达式计算为例子加以说明。 源程序编译中,若要把一个含有表达式的赋值语句翻译成正确求值的机器 语言,首先应正确地解释表达式。例如,对赋值语句 X=4+8×2-3; (式 11.1) 其正确的计算结果应该是17,但若在编译程序中简单地按自左向右扫描 的原则进行计算,则为:X=12×2-3=24-3=21 这结果显然是错误的。因此,为了使编译程序能够正确地求值,必须事先 规定求值的顺序和规则。通常采用运算符优先数法。 一般表达式中会遇到操作数、运算符和语句结束符等,以算术运算符为例, 对每种运算赋予一个优先数,如: 运算符:× ÷ + - 优先数:2 2 1 1 (语句结束符“;”的优先数为零) 在运算过程中,优先数高的运算符应先进行运算(但遇到括号时,应另作 处理)。按这样的规定,对式(11.1)自左向右进行运算时,其计算顺序就被 唯一地确定下来了。计算顺序确定后,在对表达式进行编译时,一般设立两个 栈,一个称为运算符栈(OPS),另一个称为操作数栈(OVS),以便分别存 放表达式中的运算符和操作数。编译程序自左向右扫描表达式直至语句结束, 其处理原则是: ①凡遇到操作数,一律进入操作数栈; ②当遇到运算符时,则将运算符的优先数与运算符栈中的栈顶元素的优先

数据结构样卷3(英文)

数据结构样卷3(英文)

重庆大学 《数据结构》 课程样卷 3开课学院: 计算机学院 课程号: 18001035 考试日期:考试方式:考试时间: 120 分钟一、 Single choice1. Merge two ordered list, both of them contain n elements, the least timesof comparison is ( ).A. nB. 2n-1C. 2nD. n-12. Sequential stored linear list with the length of 1000, if we insertan element into any position, the possibility is equal, when we insert a new element, the average number of removing elements is ( ). A. 1000 B. 1001 C. 500 D. 4993. Assume that the initial status of stack S and queue Q are both NULL,push elements e1,e2,e3,e4,e5,e6 into the stack S one by one, an element pops from stack, then enter into queue Q. If the sequence which the six elements in the dequeue is e2,e4,e6,e5,e3,e1, the capacity of stack S is at least ( ).A. 6B. 4C. 3D. 24. Two-dimensional array A [10 .. 20,5 .. 10] stores in line sequence,each element occupies 4 storage location, and the memory address of A[10,5] is 1000, then the address of A[20,9] is ( ). A. 1212 B. 1256 C. 1368 D. 13645. A tree with degree 3, it has 2 nodes with the degree 3, one node withthe degree 2, and 2 nodes with the degree 1, so the number of nodes with degree 0 is ( ).A. 4.B. 5.C. 6.D. 76. The inorder sequence of a binary tree is ABCDEFG, and its postordersequence is BDCAFGE, so its pre-order sequence is ( ) A. EGFACDB B. EACBDGF C. EAGCFBD D. EGAFCDB7. A Huffman tree with n leaf nodes, its total number of nodes is ( )A. n-1B. n+1C. 2n-1D. 2n+18. In an adjacency list of undirected graph with n vertexes and e edges,the number of edge node is ( ).A. nB. neC. eD. 2e9. The degree (sum of in-degree and out-degree) of a directed graph isk1, and the number of out-degree is k2. Therefore, in its adjacency list, the number of edge nodes in this singly linked list is ( ). A. k1 B. k2 C. k1-k2 D. k1+k210. If the graph has n vertexes is a circle, so it has ( ) spanning tree.A. nB. 2nC. n-1D.n+111. When look up a sequential list with the length 3, the possibility thatwe find the first element is 1/2, and the possibility that we find the second element is 1/3, the possibility that we find the third element is 1/6, so the average searching length to search any element (find it successfully and the sentry is at the end of the list) is ( ) A. 5/3 B.2 C. 7/3 D.4/312. There is an ordered list {3,5,7,8,11,15,17,22,23,27,29,33}, by binarysearch to search 27, so the number of comparison is ( ) A. 2 B. 3 C. 4 D. 513. Sort the following keyword sequences by using Quicksort, and theslowest one is ( )A. 19,23,3,15,7,21,28B. 23,21,28,15,19,3,7C. 19,7,15,28,23,21,3D. 3,7,15,19,21,23,28 14. Heapsort needs additional storage complexity is ( )A. O(n)B. O(nlog 2n)C. O(n 2) D. O(1)15. If we sort an array within the time complexity of O(nlog2n), needingsort it stably, the way that we can choose is ( )A. Merge sortB. Direct insertion sortC. Heap sortD. Quicksort二、 Fill the blanks1.Assume that the structure of the nodes in doubly circular linked list is (data,llink,rlink), without a head node in the list, if we want命题人:组题人:审题人:命题时间: 教务处制学院 专业、班 年级 学号 姓名公平竞争、诚实守信、严肃考纪、拒绝作弊封线密to insert the node which pointer s points after the node pointer ppoints, then execute as the following statements:; ; ___ _; ;2.Both stack and queue are _______linear structure.3.The four leaf nodes with the weight 9,2,5,7 form a Huffman tree, itsweighted path length is ________.4.In order to ensure that an undirected graph with six vertexes isconnected, need at least ______ edges.5.An n-vertex directed graph, if the sum of all vertices’ out-degreeis s, then the sum of all vertices’ degree is__ ___.6.The Depth-First traversal of a graph is similar to the binarytree_______ traversal; the Breadth-first graph traversal algorithmis similar to the binary tree ______traversal.7. A connected graph with n vertexes and e edges has ____ edges of itsspanning tree.8.The time complexity of binary searching is _____; if there are 100elements, the maximum number of comparisons by binary searching is____.9.Sort n elements by merge sort, the requiring auxiliary space is _____.10.Sort a linear list with 8 elements by Quicksort, at the best, thecomparison time is ______.三、 Application1. Begin from the vertex A, seek the minimum spanning tree by using Primalgorithms2. The following is AOE network:(1) How much time does it take to complete the whole project?(2) Find out all of the critical path.(9 points)3. Assume that a set of keywords is {1,12,5,8,3,10,7,13,97},tryto complete the following questions:(9 points)(1) Choose the keywords in sequence to build a binary sort tree Bt;(2) Draw the structure of the tree after deleting node “12”from thebinary tree Bt.4. The keyword sequence is {503,87,512,61,908,170,897,275,653,462}, usingradix sorting method to sort them in ascending order, try to write every trip results of sort. (9 points)四、 Algorithm1.The following algorithm execute on a singly linked list without headnode, try to analyze and write its function.(5 points)void function(LinkNode *head){LinkNode *p,*q,*r;p=head;q=p->next;while(q!=NULL){r=q->next;q->next=p;p=q;q=r;}head->next=NULL;head=p;}2.Design an algorithm to divide a singly linked list ‘A’ with a headpointer ‘a’ into two singly linked list ‘A’ and ‘B’, whose head pointers are ‘a’and ‘b’, respectively. On the condition that linked list A has all elements of odd serial number in the previous linked listA and linked listB has all elements of even serial number in the previouslinked list A, in addition, the relative order of the original linked list are maintained.(7 points)3. The type of binary tree is defined as follows:typedef struct BiTNode {char data;struct BiTNode *lchild,*rchild;}BiTNode, *BiTree;Please design an algorithm to count how many leaf nodes the binary tree have. (8 points)。

数据结构C语言版_栈的顺序存储表示和实现

数据结构C语言版_栈的顺序存储表示和实现
printf("%d ",c);
return 1;
}
int main()
{
int j;
SqStack s;
SElemType e;
// 创建一个顺序栈。
if(InitStack(&s) == 1)
printf("顺序栈创建成功!\n");
// 查看栈的长度。
}
// 插入元素e为新的栈顶元素。
int Push(SqStack *S, SElemType e)
{
if((*S).top - (*S).base >= (*S).stacksize) // 栈满,追加存储空间
{
(*S).base = (SElemType *)realloc((*S).base,
{
SElemType *base; // 在栈构造之前和销毁之后,base的值为NULL
SElemType *top; // 栈顶指针
int stacksize; // 当前已分配的存储空间,以元素为单位
}SqStack; // 顺序栈
// 构造一个空栈S。
int InitStack(SqStack *S)
system("pause");
return 0;
}
/*
输出效果:
顺序栈创建成功!
栈的长度是0
栈空否:1(1:空 0:否)
栈中元素依次为:1 2 3 4 5 6 7 8 9 10 11 12
弹出的栈顶元素 e=12
栈空否:0(1:空 0:否)
栈顶元素 e=11 栈的长度为11

数据结构与算法常用英语词汇

数据结构与算法常用英语词汇

数据结构与算法常用英语词汇.txt 女人谨记:一定要吃好玩好睡好喝好。

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第一部份计算机算法常用术语中英对照Data Structures 基本数据结构Dictionaries 字典Priority Queues 堆Graph Data Structures 图Set Data Structures 集合Kd-Trees 线段树Numerical Problems 数值问题Solving Linear Equations 线性方程组Bandwidth Reduction 带宽压缩Matrix Multiplication 矩阵乘法Determinants and Permanents 行列式Constrained and Unconstrained Optimization 最值问题Linear Programming 线性规划Random Number Generation 随机数生成Factoring and Primality Testing 因子分解/质数判定Arbitrary Precision Arithmetic 高精度计算Knapsack Problem 背包问题Discrete Fourier Transform 离散 Fourier 变换Combinatorial Problems 组合问题Sorting 排序Searching 查找Median and Selection 中位数Generating Permutations 罗列生成Generating Subsets 子集生成Generating Partitions 划分生成Generating Graphs 图的生成Calendrical Calculations 日期Job Scheduling 工程安排Satisfiability 可满足性Graph Problems -- polynomial 图论-多项式算法Connected Components 连通分支Topological Sorting 拓扑排序Minimum Spanning Tree 最小生成树Shortest Path 最短路径Transitive Closure and Reduction 传递闭包Matching 匹配Eulerian Cycle / Chinese Postman Euler 回路/中国邮路Edge and Vertex Connectivity 割边/割点Network Flow 网络流Drawing Graphs Nicely 图的描绘Drawing Trees 树的描绘Planarity Detection and Embedding 平面性检测和嵌入Graph Problems -- hard 图论-NP 问题Clique 最大团Independent Set 独立集Vertex Cover 点覆盖Traveling Salesman Problem 旅行商问题Hamiltonian Cycle Hamilton 回路Graph Partition 图的划分Vertex Coloring 点染色Edge Coloring 边染色Graph Isomorphism 同构Steiner Tree Steiner 树Feedback Edge/Vertex Set 最大无环子图Computational Geometry 计算几何Convex Hull 凸包Triangulation 三角剖分Voronoi Diagrams Voronoi 图Nearest Neighbor Search 最近点对查询Range Search 范围查询Point Location 位置查询Intersection Detection 碰撞测试Bin Packing 装箱问题Medial-Axis Transformation 中轴变换Polygon Partitioning 多边形分割Simplifying Polygons 多边形化简Shape Similarity 相似多边形Motion Planning 运动规划Maintaining Line Arrangements 平面分割Minkowski Sum Minkowski 和Set and String Problems 集合与串的问题Set Cover 集合覆盖Set Packing 集合配置String Matching 模式匹配Approximate String Matching 含糊匹配Text Compression 压缩Cryptography 密码Finite State Machine Minimization 有穷自动机简化Longest Common Substring 最长公共子串Shortest Common Superstring 最短公共父串DP——Dynamic Programming——动态规划recursion ——递归第二部份数据结构英语词汇数据抽象 data abstraction数据元素 data element数据对象 data object数据项 data item数据类型 data type抽象数据类型 abstract data type逻辑结构 logical structure物理结构 phyical structure线性结构 linear structure非线性结构 nonlinear structure基本数据类型 atomic data type固定聚合数据类型 fixed-aggregate data type可变聚合数据类型 variable-aggregate data type 线性表 linear list栈 stack队列 queue串 string数组 array树 tree图 grabh查找,线索 searching更新 updating排序(分类) sorting插入 insertion删除 deletion前趋 predecessor后继 successor直接前趋直接后继双端列表循环队列immediate predecessor immediate successor deque(double-ended queue) cirular queue指针 pointer先进先出表(队列) first-in first-out list 后进先出表(队列) last-in first-out list栈底栈定压入弹出队头bottom top push pop front队尾 rear上溢 overflow下溢 underflow数组 array矩阵 matrix多维数组 multi-dimentional array以行为主的顺序分配 row major order以列为主的顺序分配 column major order 三角矩阵 truangular matrix对称矩阵 symmetric matrix稀疏矩阵 sparse matrix转置矩阵 transposed matrix链表 linked list线性链表 linear linked list单链表 single linked list多重链表 multilinked list循环链表 circular linked list双向链表 doubly linked list十字链表 orthogonal list广义表 generalized list链 link指针域 pointer field链域 link field头结点 head 头指针 head 尾指针 tail 串 string node pointer pointer空白(空格)串blank string 空串(零串) null string子串 substring树 tree子树 subtree森林 forest根 root叶子结点深度层次双亲孩子leaf node depth level parents children兄弟 brother祖先 ancestor子孙 descentdant二叉树 binary tree平衡二叉树 banlanced binary tree 满二叉树 full binary tree彻底二叉树 complete binary tree遍历二叉树 traversing binary tree 二叉排序树 binary sort tree二叉查找树 binary search tree线索二叉树 threaded binary tree 哈夫曼树 Huffman tree有序数 ordered tree无序数 unordered tree判定树 decision tree双链树 doubly linked tree数字查找树 digital search tree树的遍历 traversal of tree先序遍历 preorder traversal中序遍历 inorder traversal后序遍历 postorder traversal图 graph子图 subgraph有向图无向图彻底图连通图digraph(directed graph) undigraph(undirected graph) complete graphconnected graph非连通图 unconnected graph强连通图 strongly connected graph 弱连通图 weakly connected graph 加权图 weighted graph有向无环图 directed acyclic graph 稀疏图 spares graph稠密图 dense graph重连通图 biconnected graph二部图 bipartite graph边 edge顶点 vertex弧 arc路径 path回路(环) cycle弧头弧尾源点终点汇点headtailsource destination sink权 weight连接点 articulation point 初始结点 initial node终端结点 terminal node相邻边 adjacent edge相邻顶点 adjacent vertex 关联边 incident edge入度 indegree出度 outdegree最短路径 shortest path有序对 ordered pair无序对 unordered pair简单路径简单回路连通分量邻接矩阵simple pathsimple cycle connected component adjacency matrix邻接表 adjacency list邻接多重表 adjacency multilist遍历图 traversing graph生成树 spanning tree最小(代价)生成树 minimum(cost)spanning tree生成森林 spanning forest拓扑排序 topological sort偏序 partical order拓扑有序 topological orderAOV 网 activity on vertex networkAOE 网 activity on edge network关键路径 critical path匹配 matching最大匹配 maximum matching增广路径 augmenting path增广路径图 augmenting path graph查找 searching线性查找(顺序查找) linear search (sequential search)二分查找 binary search分块查找 block search散列查找 hash search平均查找长度 average search length散列表 hash table散列函数 hash funticion直接定址法 immediately allocating method 数字分析法 digital analysis method平方取中法 mid-square method折叠法 folding method除法 division method随机数法 random number method排序 sort内部排序 internal sort外部排序 external sort插入排序 insertion sort随小增量排序 diminishing increment sort 选择排序 selection sort堆排序 heap sort快速排序归并排序基数排序外部排序quick sort merge sortradix sort external sort平衡归并排序 balance merging sort二路平衡归并排序 balance two-way merging sort 多步归并排序 ployphase merging sort置换选择排序 replacement selection sort文件 file主文件 master file顺叙文件 sequential file索引文件 indexed file索引顺叙文件 indexed sequential file索引非顺叙文件 indexed non-sequential file直接存取文件 direct access file多重链表文件 multilist file倒排文件 inverted file目录结构 directory structure树型索引 tree index。

计算机专业英语(第3版)

计算机专业英语(第3版)
本句由“Although”引导让步状语从句,“the electronic components”作主语。
译文:虽然大多数CPU芯片比一块眼镜片还小,但 所包含的电子元件在几十年前却要装满一个房间。
2020/8/16
计算机专业英语(第3版)
6
Notes
[2] The program, which tells the computers what to do and the data, which provide the information needed to solve the problem, are kept inside the computer in a place called memory. 这里的主语是“the program and the data”,由which引 导的两个定语从句分别修饰the program和the data。
➢ 控制单元将数据送到算术逻辑单元中,然后由算术逻辑单 元完成执行指令所需要的算术或逻辑运算。
➢ Arithmetic operations include adding, subtracting, multiplying, and dividing.
➢ 算术运算包括加、减、乘、除。
➢ Logic operations make a comparison and take action based on the results.
➢ 确定刚取出指令的类型。
➢ If the instruction uses data in memory, determine where they are.
➢ 如果指令使用存储器中的数据,则须确定它们的地址。
➢ Fetch the data into internal CPU registers.

计算机专业常用英语

计算机专业常用英语

计算机专业常用英语1.Algorithm 演算法2.Application 程序3.Applet 小应用4.Architecture 架构5.Array 数组6.Assembler 汇编程序7.Asynchronous 异步的8.Binary 二进制9.Bit 位10.Byte 字节11.Cache 缓存14.Cursor 游标15.Database 数据库16.Data Structure 数据结构17.Debugger 调试器18.Delay等待19.Driver 驱动程序20.Encryption 加密21.Event 事件22.Executable 可执行程序23.File 文件24.Floating Point 小数25.Font 字体26.Frequency 频率27.Graphics 图形28.Hardware 硬件29.Hyperlink 超链接30.Intranet 内联网31.Internet 互联网32.Kernel 核心nguage 语言34.Library 库35.Linker 链接器36.Menu 菜单37.Memory 内存38.Microprocessor 微处理器work 网络40.Operating System 操作系统41.Operator 操作符42.Output 输出43.Package 包44.Parser 解析器45.Platform 平台46.Port 端口47.Protocol 协议48.Query 查询49.Register 寄存器50.Router 路由器51.Scalability 可伸缩性52.Script 脚本53.Security 安全54.Server 服务器55.Software 软件56.Storage 存储57.Syntax 语法58.System 语系59.Thread 线程60.Transmission 传输61.Tutorial 教程er Interface 用户界面63.Utility 实用程序64.Virtual Memory 虚拟内存65.Web 浏览器66.Website 网站67.World Wide Web 万维网68.XML Extensible Markup Language 一种可扩展标记语言69.Y2K年的问题70.Zero 数字071.ZIP File 压缩文件72.Robotics 机器人技术73.Artificial Intelligence 人工智能74.Voice Recognition 语音识别75.Imaging Processing 图像处理76.Automatic Data Processing 自动数据处理77.Vision System 目标检测系统78.Expert Systems 专家系统79.Object-Oriented Programming 面向对象编程。

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Error Processing——error code
We shall use a single enumerated type called Error_code to report errors from all of our programs and functions. The enumerated type Error_code is part of the utility package in Appendix C. Stacks use three values of an Error_code: success, overflow, underflow Later, we shall use several further values of an Error_code.
Error_code Stack :: push(const Stack_entry &item); precondition: None. postcondition: If the Stack is not full, item is added to the top of the Stack. If the Stack is full, an Error_code of overflow is returned and the Stack is left unchanged.
top an-1 an-2
maxstack
bottom

a0
Understand stack
You can imagine stack as this barrel, when you want to put the black pie into the barrel, you just put it on the top of the orange one. Meanwhile, when you want to get the red pie, you should first popup the other two pies, and then you can get the red one.
Stack methods The methods of our class stack must include the following fundamental operations.
empty( ) top( ) push( )
pop( )
Constructor
Entry Types, Generics
2.2 IMPLEMENTATION OF STACKS
contiguous stacks In this Chapter, we will learn contiguous stacks. linked stacks We will learn in Chapter 4.
2.2.1 Specification of Methods for Stacks
Pushing and popping a stack
S M D R A Q
Standard Template Library (STL)
The standard template library (abbreviated STL) in C++ contains much useful information, many functions, and many classes. We can include the STL stack implementation into our programs with the directive #include <stack> and then we can define and initialize empty stack objects and apply methods called push, pop, top, and empty.
a1
a2
a3
a4
a5
a6
question
Read an integer n, which will be at most 25, then read a list of n numbers, and print the list in reverse order.
2.1.2 Stacks
Definition: A stack is a last in-first out (LIFO) data structure in which all insertion and deletion are restrict to one end, called top. Pop Stack Push Stack
Hale Waihona Puke Standard Template Library (STL)
In C++, a template construction allows us to create data structures whose entries have different types. Example: stack<double> numbers stack<int> numbers The STL provides several implementations of various data structures such as stacks. A second, optional template parameter selects the implementation.
For generality, we use Stack_entry for the type of entries in a Stack. A client can specify this type with a definition such as typedef int Stack_entry; or typedef char Stack_entry; The ability to use the same underlying data structure and operations for different entry types is called generics. typedef provides simple generics. Starting in Chapter 6, we shall use C++ templates for greater generality.
2.1.3 First Example: Reversing a List
As a simple example of the use of stacks, let us write a program to solve the problem of Section 2.1.1. Our program must read an integer n, followed by n floating-point numbers. It then writes them out in reverse order. We can accomplish this task by pushing each number into a stack as it is read. When the input is finished, we pop numbers off the stack, and they will come off in the reverse order.
CHAPTER 2 INTRODUCTION TO STACKS
【学习内容】 BASIC CONCEPTS 1. Stack Specifications 2. Implementation of Stacks 3. Application: A Desk Calculator 4. Application: Bracket Matching 5. Abstract Data Types and Their Implementations
Error Processing—exception handling
an exception is produced when a error is detected in a data structure; client can capture the exception and decide how to response. return an error code from implementation.
Specification for Methods
Error_code Stack :: pop( ); precondition: None. postcondition: If the Stack is not empty, the top of the Stack is removed. If the Stack is empty, an Error_code of underflow is returned and the Stack is left unchanged.
#include <stack> #include <iostream> using namespace std; int main( ) { int n; double item; stack<double> numbers; // declares and initializes a stack of numbers cout << " Type in an integer n followed by n decimal numbers." << endl << " The numbers will be printed in reverse order." << endl; cin >> n; for (int i = 0; i < n; i++) { cin >> item; numbers.push(item); } cout << endl << endl; while (!numbers.empty( )) { cout << numbers.top( ) << " "; numbers.pop( ); } cout << endl; return 0;}
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