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算法分析导论  第2版  英文版
算法分析导论  第2版  英文版

算法分析导论 第2版 英文版PDF电子书下载

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  • 电子书积分:17 积分如何计算积分?
  • 作 者:(美)塞奇威克,(美)弗拉若莱著
  • 出 版 社:北京:电子工业出版社
  • 出版年份:2015
  • ISBN:9787121260704
  • 页数:572 页
图书介绍:本书阐述了用于算法数学分析的主要方法,所涉及的材料来自经典数学课题,包括离散数学、初等实分析、组合数学,以及来自经典的计算机科学课题,包括算法和数据结构。本书内容集中覆盖基础、重要和有趣的算法,前面侧重数学,后面集中讨论算法分析的应用。每章包含大量习题以及参考文献,使读者可以更深入地理解书中的内容。本书第一版为行业内的经典著作,本版不仅对书中图片和代码进行了更新,还补充了新章节。
《算法分析导论 第2版 英文版》目录

CHAPTER ONE:ANALYSIS OF ALGORITHMS 3

1.1 Why Analyze an Algorithm? 3

1.2 Theory of Algorithms 6

1.3 Analysis of Algorithms 13

1.4 Average-Case Analysis 16

1.5 Example:Analysis of Quicksort 18

1.6 Asymptotic Approximations 27

1.7 Distributions 30

1.8 Randomized Algorithms 33

CHAPTER TWO:RECURRENCE RELATIONS 41

2.1 Basic Properties 43

2.2 First-Order Recurrences 48

2.3 Nonlinear First-Order Recurrences 52

2.4 Higher-Order Recurrences 55

2.5 Methods for Solving Recurrences 61

2.6 Binary Divide-and-Conquer Recurrences and Binary Numbers 70

2.7 General Divide-and-Conquer Recurrences 80

CHAPTER THREE:GENERATING FUNCTIONS 91

3.1 Ordinary Generating Functions 92

3.2 Exponential Generating Functions 97

3.3 Generating Function Solution of Recurrences 101

3.4 Expanding Generating Functions 111

3.5 Transformations with Generating Functions 114

3.6 Functional Equations on Generating Functions 117

3.7 Solving the Quicksort Median-of-Three Recurrence with OGFs 120

3.8 Counting with Generating Functions 123

3.9 Probability Generating Functions 129

3.10 Bivariate Generating Functions 132

3.11 Special Functions 140

CHAPTER FOUR:ASYMPTOTIC APPROXIMATIONS 151

4.1 Notation for Asymptotic Approximations 153

4.2 Asymptotic Expansions 160

4.3 Manipulating Asymptotic Expansions 169

4.4 Asymptotic Approximations of Finite Sums 176

4.5 Euler-Maclaurin Summation 179

4.6 Bivariate Asymptotics 187

4.7 Laplace Method 203

4.8"Normal"Examples from the Analysis of Algorithms 207

4.9"Poisson"Examples from the Analysis of Algorithms 211

CHAPTER FIVE:ANALYTIC COMBINATORICS 219

5.1 Formal Basis 220

5.2 Symbolic Method for Unlabelled Classes 221

5.3 Symbolic Method for Labelled Classes 229

5.4 Symbolic Method for Parameters 241

5.5 Generating Function Coefficient Asymptotics 247

CHAPTER SIX:TREES 257

6.1 Binary Trees 258

6.2 Forests andTrees 261

6.3 Combinatorial Equivalences to Trees and Binary Trees 264

6.4 Properties of Trees 272

6.5 Examples of Tree Algorithms 277

6.6 Binary Search Trees 281

6.7 Average Path Length in Catalan Trees 287

6.8 Path Length in Binary Search Trees 293

6.9 Additive Parameters of Random Trees 297

6.10 Height 302

6.11 Summary of Average-Case Results on Properties of Trees 310

6.12 Lagrange Inversion 312

6.13 Rooted Unordered Trees 315

6.14 Labelled Trees 327

6.15 Other Types of Trees 331

CHAPTER SEVEN:PERMUTATIONS 345

7.1 Basic Properties of Permutations 347

7.2 Algorithms on Permutations 355

7.3 Representations of Permutations 358

7.4 Enumeration Problems 366

7.5 Analyzing Properties of Permutations with CGFs 372

7.6 Inversions and Insertion Sorts 384

7.7 Left-to-Right Minima and Selection Sort 393

7.8 Cycles and In Situ Permutation 401

7.9 Extremal Parameters 406

CHAPTER EIGHT:STRINGS AND TRIES 415

8.1 String Searching 416

8.2 Combinatorial Properties of Bitstrings 420

8.3 Regular Expressions 432

8.4 Finite-State Automata and the Knuth-Morris-Pratt Algorithm 437

8.5 Context-Free Grammars 441

8.6 Tries 448

8.7 Trie Algorithms 453

8.8 Combinatorial Properties ofTries 459

8.9 Larger Alphabets 465

CHAPTER NINE:WORD S AND MAPPINGS 473

9.1 Hashing with Separate Chaining 474

9.2 The Balls-and-Urns Model and Properties of Words 476

9.3 Birthday Paradox and Coupon Collector Problem 485

9.4 Occupancy Restrictions and Extremal Parameters 495

9.5 Occupancy Distributions 501

9.6 Open Addressing Hashing 509

9.7 Mappings 519

9.8 Integer Factorization and Mappings 532

List of Theorems 543

List of Tables 545

List of Figures 547

Index 551

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