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书籍分享–《Introduction to Algorithms Third Edition》

书籍简介

 

Introduction to Algorithms is a book by Thomas H. CormenCharles E. LeisersonRonald L. Rivest, and Clifford Stein. The book has been widely used as the textbook for algorithms courses at many universities[1] and is commonly cited as a reference for algorithms in published papers, with over 10,000 citations documented on CiteSeerX.[2] The book sold half a million copies during its first 20 years.[3] Its fame has led to the common use of the abbreviation “CLRS” (Cormen, Leiserson, Rivest, Stein), or, in the first edition, “CLR” (Cormen, Leiserson, Rivest).[4]

In the preface, the authors write about how the book was written to be comprehensive and useful in both teaching and professional environments. Each chapter focuses on an algorithm, and discusses its design techniques and areas of application. Instead of using a specific programming language, the algorithms are written in Pseudocode. The descriptions focus on the aspects of the algorithm itself, its mathematical properties, and emphasize efficiency.[5]

以上来自维基百科。

Introduction to Algorithms

Introduction to Algorithms

书籍目录

I Foundations
Introduction 
1 The Role of Algorithms in Computing 
2 Getting Started 
3 Growth of Functions 
4 Divide-and-Conquer 
5 Probabilistic Analysis and Randomized Algorithms 


II Sorting and Order Statistics
Introduction 
6 Heapsort 
7 Quicksort 
8 Sorting in Linear Time 
9 Medians and Order Statistics 

III Data Structures
Introduction 
10 Elementary Data Structures 
11 Hash Tables 
12 Binary Search Trees 
13 Red-Black Trees 
14 Augmenting Data Structures 

IV Advanced Design and Analysis Techniques
Introduction 
15 Dynamic Programming 
16 Greedy Algorithms 
17 Amortized Analysis 

V Advanced Data Structures
Introduction 
18 B-Trees 
19 Fibonacci Heaps 
20 van Emde Boas Trees 
21 Data Structures for Disjoint Sets 

VI Graph Algorithms
Introduction 
22 Elementary Graph Algorithms 
23 Minimum Spanning Trees 
24 Single-Source Shortest Paths
25 All-Pairs Shortest Paths 
26 Maximum Flow 

VII Selected Topics
Introduction 
27 Multithreaded Algorithms 
28 Matrix Operations 
29 Linear Programming 
30 Polynomials and the FFT 
31 Number-Theoretic Algorithms 
32 String Matching 
33 Computational Geometry 
34 NP-Completeness 
35 Approximation Algorithms 

Contents xi
VIII Appendix: Mathematical Background
Introduction 
A Summations 
B Sets, Etc. 
C Counting and Probability 
D Matrices 
Bibliography 
Index

下载地址

算法导论·第三版·英文版-[美]Thomas H. Cormen-[文字版].pdf: https://liangz.pipipan.com/fs/15717665-331861168

算法导论·第三版·英文版-[美]Thomas H. Cormen-[文字版].pdf: https://liangz.ctfile.com/fs/15717665-331861168

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