Mastering Algorithms with C 2024 pdf epub mobi 电子书


Mastering Algorithms with C

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Mastering Algorithms with C 2024 pdf epub mobi 电子书 著者简介

Kyle Loudon是美国加州洛斯加托斯Jeppesen Dataplan公司的一名软件工程师,主管图形接口开发小组,主攻航迹规划软件的研发,这些软件主要用于商业航空公司、私营航空部门和其他一些航空制造业。在来到Jeppesen之前,Kyle在IBM公司是一名系统程序员。在技术上,Kyle主要对操作系统、网络、人机交互等领域感兴趣。1992年,Kyle在普渡大学拿到了计算机科学学士学位,并取得了法语的第二学位,同时他还被选入斐陶斐荣誉学会(美国大学优等生之荣誉学会)。他在普渡大学计算机系教了三年的计算机课程。在这期间,他完成了他个人的第一本书《Understanding Computers》,这本书用理论结合实践的方式介绍计算机的方方面面。如今,尽管他继续工作在硅谷的软件业,但他仍然坚韧不拔地在追求一个更高的学位。

除了计算机,Kyle多年来喜欢打网球、教网球。他还喜欢山地骑行、滑冰,偶尔也和朋友们一起参加高尔夫课程。另外,Kyle还喜欢各种形式的戏剧、美食,以及某些风格的音乐和艺术;他期望成为钢琴家和艺术家,但希望渺茫。他现在在Jeppesen的工作是从他1992年开始驾驶飞机之后找到的。现在,他是一个拥有美国联邦航空局颁发的商业飞行员执照的飞行员。


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发表于2024-05-18

Mastering Algorithms with C 2024 pdf epub mobi 电子书

Mastering Algorithms with C 2024 pdf epub mobi 电子书

Mastering Algorithms with C 2024 pdf epub mobi 电子书



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Mastering Algorithms with C 电子书 读后感

评分

看了介绍,很想读一下,不知道哪里能买到。刚看了几个网上书店,貌似都没有。改天去书店看看,这个价钱应该还是能接受了。上学的朋友们估计很快也能在图书馆借到了,也省的花钱了。 我比较关注这段介绍:具体实现都采用正式的C语言代码而不是伪代码,在很多数据结构和算法的实...  

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这是继《数据结构与算法分析:C语言描述》和《算法技术手册》后又一本适用于算法、数据结构新手的经典书。但是后面数值计算、数据压缩、数据加密、图算法、几何算法那几章,每章就写20+页,有点儿坑了~但在熟悉了《C Interface and Implementations》和《Object-oriented Prog...

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这是一本经典的关于C语言的数据结构和算法的书籍,年代比较久远了,但里面的内容完全没有过时。对于学生和刚工作不久的工程师来说,绝对是一本比较好的打好基础的书。书中有的完整的源代码和示例,较易理解其算法过程。出版商是国外知名的O'Reilly,这个就不用多介绍了,呵呵。...  

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本书的最大特点是有源代码,所以非常非常适合大一大二的同学用来完成数据结构的大作业,自己写个测试用例就好了……另外,配图非常好,看起来非常舒服。书中的例子只能说是完成了基本功能,有些例子还有可以优化的地方。 只看过中文版,有些句子完全和上下文无关,不清楚是原...  

评分

这是一本经典的关于C语言的数据结构和算法的书籍,年代比较久远了,但里面的内容完全没有过时。对于学生和刚工作不久的工程师来说,绝对是一本比较好的打好基础的书。书中有的完整的源代码和示例,较易理解其算法过程。出版商是国外知名的O'Reilly,这个就不用多介绍了,呵呵。...  

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出版者:O'Reilly
作者:Kyle Loudon
出品人:
页数:562
译者:
出版时间:1999-08-05
价格:USD 39.95
装帧:Paperback
isbn号码:9781565924536
丛书系列:

图书标签: 算法  C  Algorithms  计算机  数据结构  Algorithm  编程  programming   


Mastering Algorithms with C 2024 pdf epub mobi 电子书 图书描述

This book offers robust solutions for everyday programming tasks, providing all the necessary information to

understand and use common programming techniques. It includes implementations and real-world examples of

each data structure in the text and full source code on the accompanying website

(http://examples.oreilly.com/masteralgoc/). Intended for anyone with a basic understanding of the C language.

Preface

When I first thought about writing this book, I immediately thought of O'Reilly & Associates to publish it. They were the first publisher

I contacted, and the one I most wanted to work with because of their tradition of books covering "just the facts." This approach is not

what one normally thinks of in connection with books on data structures and algorithms. When one studies data structures and

algorithms, normally there is a fair amount of time spent on proving their correctness rigorously. Consequently, many books on this

subject have an academic feel about them, and real details such as implementation and application are left to be resolved

elsewhere. This book covers how and why certain data structures and algorithms work, real applications that use them (including

many examples), and their implementation. Mathematical rigor appears only to the extent necessary in explanations.

Naturally, I was very happy that O'Reilly & Associates saw value in a book that covered this aspect of the subject. This preface

contains some of the reasons I think you will find this book valuable as well. It also covers certain aspects of the code in the book,

defines a few conventions, and gratefully acknowledges the people who played a part in the book's creation.

Bookmarks

Main Page

Table of content

Copyright

Preface

Organization

Key Features

About the Code

Conventions

How to Contact Us

Acknowledgments

Part I: Preliminaries

Chapter 1. Introduction

1.1 An Introduction to Data Structures

1.2 An Introduction to Algorithms

1.3 A Bit About Software Engineering

1.4 How to Use This Book

Chapter 2. Pointer Manipulation

2.1 Pointer Fundamentals

2.2 Storage Allocation

2.3 Aggregates and Pointer Arithmetic

2.4 Pointers as Parameters to Functions

2.5 Generic Pointers and Casts

2.6 Function Pointers

2.7 Questions and Answers

2.8 Related Topics

Chapter 3. Recursion

3.1 Basic Recursion

3.2 Tail Recursion

3.3 Questions and Answers

3.4 Related Topics

Chapter 4. Analysis of Algorithms

4.1 Worst-Case Analysis

4.2 O-Notation

4.3 Computational Complexity

4.4 Analysis Example: Insertion Sort

4.5 Questions and Answers

4.6 Related Topics

Part II: Data Structures

Chapter 5. Linked Lists

5.1 Description of Linked Lists

5.2 Interface for Linked Lists

5.3 Implementation and Analysis of Linked Lists

5.4 Linked List Example: Frame Management

5.5 Description of Doubly-Linked Lists

5.6 Interface for Doubly-Linked Lists

5.7 Implementation and Analysis of Doubly Linked Lists

5.8 Description of Circular Lists

5.9 Interface for Circular Lists

5.10 Implementation and Analysis of Circular Lists

5.11 Circular List Example: Second-Chance Page Replacement

5.12 Questions and Answers

5.13 Related Topics

Chapter 6. Stacks and Queues

6.1 Description of Stacks

6.2 Interface for Stacks

6.3 Implementation and Analysis of Stacks

6.4 Description of Queues

6.5 Interface for Queues

6.6 Implementation and Analysis of Queues

6.7 Queue Example: Event Handling

6.8 Questions and Answers

6.9 Related Topics

Chapter 7. Sets

7.1 Description of Sets

7.2 Interface for Sets

7.3 Implementation and Analysis of Sets

7.4 Set Example: Set Covering

7.5 Questions and Answers

7.6 Related Topics

Chapter 8. Hash Tables

8.1 Description of Chained Hash Tables

8.2 Interface for Chained Hash Tables

8.3 Implementation and Analysis of Chained Hash Tables

8.4 Chained Hash Table Example: Symbol Tables

8.5 Description of Open-Addressed Hash Tables

8.6 Interface for Open-Addressed Hash Tables

8.7 Implementation and Analysisof Open Addressed Hash Tables

8.8 Questions and Answers

8.9 Related Topics

Chapter 9. Trees

9.1 Description of Binary Trees

9.2 Interface for Binary Trees

9.3 Implementation and Analysis of Binary Trees

9.4 Binary Tree Example: Expression Processing

9.5 Description of Binary Search Trees

9.6 Interface for Binary Search Trees

9.7 Implementation and Analysis of Binary Search Trees

9.8 Questions and Answers

9.9 Related Topics

Chapter 10. Heaps and Priority Queues

10.1 Description of Heaps

10.2 Interface for Heaps

10.3 Implementation and Analysis of Heaps

10.4 Description of Priority Queues

10.5 Interface for Priority Queues

10.6 Implementation and Analysis of Priority Queues

10.7 Priority Queue Example: Parcel Sorting

10.8 Questions and Answers

10.9 Related Topics

Chapter 11. Graphs

11.1 Description of Graphs

11.2 Interface for Graphs

11.3 Implementation and Analysis of Graphs

11.4 Graph Example: Counting Network Hops

11.5 Graph Example: Topological Sorting

11.6 Questions and Answers

11.7 Related Topics

Part III: Algorithms

Chapter 12. Sorting and Searching

12.1 Description of Insertion Sort

12.2 Interface for Insertion Sort

12.3 Implementation and Analysis of Insertion Sort

12.4 Description of Quicksort

12.5 Interface for Quicksort

12.6 Implementation and Analysis of Quicksort

12.7 Quicksort Example: Directory Listings

12.8 Description of Merge Sort

12.9 Interface for Merge Sort

12.10 Implementation and Analysis of Merge Sort

12.11 Description of Counting Sort

12.12 Interface for Counting Sort

12.13 Implementation and Analysis of Counting Sort

12.14 Description of Radix Sort

12.15 Interface for Radix Sort

12.16 Implementation and Analysis of Radix Sort

12.17 Description of Binary Search

12.18 Interface for Binary Search

12.19 Implementation and Analysis of Binary Search

12.20 Binary Search Example: Spell Checking

12.21 Questions and Answers

12.22 Related Topics

Chapter 13. Numerical Methods

13.1 Description of Polynomial Interpolation

13.2 Interface for Polynomial Interpolation

13.3 Implementation and Analysis of Polynomial Interpolation

13.4 Description of Least-Squares Estimation

13.5 Interface for Least-Squares Estimation

13.6 Implementation and Analysis of Least-Squares Estimation

13.7 Description of the Solution of Equations

13.8 Interface for the Solution of Equations

13.9 Implementation and Analysis of the Solution of Equations

13.10 Questions and Answers

13.11 Related Topics

Chapter 14. Data Compression

14.1 Description of Bit Operations

14.2 Interface for Bit Operations

14.3 Implementation and Analysis of Bit Operations

14.4 Description of Huffman Coding

14.5 Interface for Huffman Coding

14.6 Implementation and Analysis of Huffman Coding

14.7 Huffman Coding Example: Optimized Networking

14.8 Description of LZ77

14.9 Interface for LZ77

14.10 Implementation and Analysis of LZ77

14.11 Questions and Answers

14.12 Related Topics

Chapter 15. Data Encryption

15.1 Description of DES

15.2 Interface for DES

15.3 Implementation and Analysis of DES

15.4 DES Example: Block Cipher Modes

15.5 Description of RSA

15.6 Interface for RSA

15.7 Implementation and Analysis of RSA

15.8 Questions and Answers

15.9 Related Topics

Chapter 16. Graph Algorithms

16.1 Description of Minimum Spanning Trees

16.2 Interface for Minimum Spanning Trees

16.3 Implementation and Analysis of Minimum Spanning Trees

16.4 Description of Shortest Paths

16.5 Interface for Shortest Paths

16.6 Implementation and Analysis of Shortest Paths

16.7 Shortest Paths Example: Routing Tables

16.8 Description of the Traveling-Salesman Problem

16.9 Interface for the Traveling-Salesman Problem

16.10 Implementation and Analysis of the Traveling-Salesman Problem

16.11 Questions and Answers

16.12 Related Topics

Chapter 17. Geometric Algorithms

17.1 Description of Testing Whether Line Segments Intersect

17.2 Interface for Testing Whether Line Segments Intersect

17.3 Implementation and Analysis of Testing Whether Line Segments Intersect

17.4 Description of Convex Hulls

17.5 Interface for Convex Hulls

17.6 Implementation and Analysis of Convex Hulls

17.7 Description of Arc Length on Spherical Surfaces

17.8 Interface for Arc Length on Spherical Surfaces

17.9 Implementation and Analysis of Arc Length on Spherical Surfaces

17.10 Arc Length Example: Approximating Distances on Earth

17.11 Questions and Answers

17.12 Related Topics

Colophon

index

Mastering Algorithms with C 2024 pdf epub mobi 电子书

Mastering Algorithms with C 2024 pdf epub mobi 电子书
想要找书就要到 本本书屋
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Mastering Algorithms with C 2024 pdf epub mobi 用户评价

评分

副作用是教你如何写C语言程序,尤其是建立C语言库

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同上,实际工作总算法用得少学习进度就停滞了

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同上,实际工作总算法用得少学习进度就停滞了

评分

讲解浅入浅出,适合简单了解。优点是附代码让人有动手欲望。

评分

跟着书的第二部分把Data structure写了一遍。这本书看上去很厚,实际上很大一部分都是代码,而且文字很多一部分都是重复的,所以真正的内容不是很多。 优点: 1. 有C语言代码实例,并且作者在很多平台上测试过,代码是没有问题的 缺点: 1. 数据结构部分都是用linked list来做的,所有有些操作的效率还是比较低的; 2. 语言不是很容易理解,读起来有点吃力(可能是我英语太差了)

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