The Algorithm Design Manual Senond Edition eBook Free Download

 

The Algorithm Design Manual Senond Edition eBook Free Download

 

The Algorithm Design Manual Senond Edition eBook Free Download

The Algorithm Design Manual Senond Edition eBook Free Download

Introduction:

Most expert developers that I’ve experienced are not all around arranged to handle calculation plan issues. This is a compassion, in light of the fact that the procedures of calculation configuration frame one of the center down to earth innovations of software engineering. Outlining right, productive, and implementable calculations for genuine issues obliges access to two unmistakable collections of learning:

Techniques – Good calculation originators comprehend a few key calculation plan procedures, including information structures, element programming, profundity first pursuit, backtracking, and heuristics. Maybe the absolute most critical configuration procedure is displaying, the specialty of abstracting a chaotic genuine application into a clean issue suitable for algorithmic assault.

Resources – Good calculation creators remain on the shoulders of goliaths. Instead of working sans preparation to create another calculation for each errand, they can make sense of what is thought around a specific issue. As opposed to re-actualizing prominent calculations sans preparation, they look for existing executions to serve as a beginning stage. They are acquainted with numerous exemplary algorithmic issues, which give adequate source material to display most any application. This book is proposed as a manual on calculation outline, giving access to combinatorial calculation innovation for both understudies and PC .

From the Back Cover:

….The most exhaustive manual for outlining down to earth and effective algorithms!….

The Algorithm Design Manual, Second Edition

“…the book is a calculation execution treasure trove, and putting these usage in one spot was no little deed. The rundown of executions [and] broad catalog make the book a precious asset for everybody keen on the subject.” – ACM Computing Reviews

“It has all the right fixings: rich substance, agreeable, individual dialect, unobtrusive cleverness, the right references, and a plenty of pointers to assets.” – P. Takis Metaxas, Wellesley College

“This is the most agreeable book on calculations I have.” – Megan Squire, Elon University, USA

This recently extended and redesigned second release of the top of the line fantastic keeps on taking the “riddle” out of outlining calculations, and examining their viability and productivity. Developing the first version, the book now serves as the essential reading material of decision for calculation outline courses while keeping up its status as the head functional reference manual for calculations for software engineers, analysts, and understudies.

The peruser agreeable Algorithm Design Manual gives direct access to combinatorial calculations innovation, focusing on outline over investigation. The primary part, Techniques, gives available direction on routines to outlining and examining PC calculations. The second part, Resources, is proposed for skimming and reference, and includes the list of algorithmic assets, executions and a broad book index.

Table Contents:

I Practical Algorithm Design 1

1 Introduction to Algorithm Design 3

1.1 Robot Tour Optimization . . . . . . . . . . . . . . . . . . . . . . 5

1.2 Selecting the Right Jobs . . . . . . . . . . . . . . . . . . . . . . . 9

1.3 Reasoning about Correctness . . . . . . . . . . . . . . . . . . . . 11

1.4 Modeling the Problem . . . . . . . . . . . . . . . . . . . . . . . . 19

1.5 About theWar Stories . . . . . . . . . . . . . . . . . . . . . . . . 22

1.6 War Story: PsychicModeling . . . . . . . . . . . . . . . . . . . . 23

1.7 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

2 Algorithm Analysis 31

2.1 The RAM Model of Computation . . . . . . . . . . . . . . . . . . 31

2.2 The Big Oh Notation . . . . . . . . . . . . . . . . . . . . . . . . . 34

2.3 Growth Rates and Dominance Relations . . . . . . . . . . . . . . 37

2.4 Working with the Big Oh . . . . . . . . . . . . . . . . . . . . . . 40

2.5 Reasoning About Efficiency . . . . . . . . . . . . . . . . . . . . . 41

2.6 Logarithms and Their Applications . . . . . . . . . . . . . . . . . 46

2.7 Properties of Logarithms . . . . . . . . . . . . . . . . . . . . . . . 50

2.8 War Story: Mystery of the Pyramids . . . . . . . . . . . . . . . . 51

2.9 Advanced Analysis (*) . . . . . . . . . . . . . . . . . . . . . . . . 54

2.10 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57

3 Data Structures 65

3.1 Contiguous versus Connected Data Structures . . . . . . . . . . . . . . . 66

3.2 Stacks and Queues . . . . . . . . . . . . . . . . . . . . . . . . . . 71

3.3 Dictionaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72

3.4 Binary Search Trees . . . . . . . . . . . . . . . . . . . . . . . . . . 77

3.5 Priority Queues . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83

3.6 War Story: Stripping Triangulations . . . . . . . . . . . . . . . . 85

3.7 Hashing and Strings . . . . . . . . . . . . . . . . . . . . . . . . . 89

3.8 Specialized Data Structures . . . . . . . . . . . . . . . . . . . . . 93

3.9 War Story: String ’em Up . . . . . . . . . . . . . . . . . . . . . . 94

3.10 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98

4 Sorting and Searching 103

4.1 Applications of Sorting . . . . . . . . . . . . . . . . . . . . . . . . 104

4.2 Pragmatics of Sorting . . . . . . . . . . . . . . . . . . . . . . . . . 107

4.3 Heapsort: Fast Sorting by means of Data Structures . . . . . . . . . . . . 108

4.4 War Story: Give me a Ticket on an Airplane . . . . . . . . . . . 118

4.5 Mergesort: Sorting by Divide-and-Conquer . . . . . . . . . . . . 120

4.6 Quicksort: Sorting by Randomization . . . . . . . . . . . . . . . 123

4.7 Distribution Sort: Sorting by means of Bucketing . . . . . . . . . . . . . . 129

4.8 War Story: Skiena for the Defense . . . . . . . . . . . . . . . . . 131

4.9 Binary Search and Related Algorithms . . . . . . . . . . . . . . . 132

4.10 Divide-and-Conquer . . . . . . . . . . . . . . . . . . . . . . . . . . 135

4.11 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

5 Graph Traversal 145

5.1 Flavors of Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . 146

5.2 Data Structures for Graphs . . . . . . . . . . . . . . . . . . . . . 151

5.3 War Story: I was a Victim ofMoore’s Law . . . . . . . . . . . . 155

5.4 War Story: Getting the Graph . . . . . . . . . . . . . . . . . . . . 158

5.5 Traversing a Graph . . . . . . . . . . . . . . . . . . . . . . . . . . 161

5.6 Breadth-First Search . . . . . . . . . . . . . . . . . . . . . . . . . 162

5.7 Applications of Breadth-First Search . . . . . . . . . . . . . . . . 166

5.8 Depth-First Search . . . . . . . . . . . . . . . . . . . . . . . . . . 169

5.9 Applications of Depth-First Search . . . . . . . . . . . . . . . . . 172

5.10 Depth-First Search on Directed Graphs . . . . . . . . . . . . . . 178

5.11 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184

6 Weighted Graph Algorithms 191

6.1 Minimum Spanning Trees . . . . . . . . . . . . . . . . . . . . . . 192

6.2 War Story: Nothing yet Nets . . . . . . . . . . . . . . . . . . . . 202

6.3 Shortest Paths . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

6.4 War Story: Dialing for Documents . . . . . . . . . . . . . . . . . 212

6.5 Network Flows and Bipartite Matching . . . . . . . . . . . . . . 217

6.6 Design Graphs, Not Algorithms . . . . . . . . . . . . . . . . . . . 222

6.7 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225

7 Combinatorial Search and Heuristic Methods 230

7.1 Backtracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

7.2 Search Pruning . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

7.3 Sudoku . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239

7.4 War Story: Covering Chessboards . . . . . . . . . . . . . . . . . . 244

7.5 Heuristic SearchMethods . . . . . . . . . . . . . . . . . . . . . . 247

7.6 War Story: Only it is Not a Radio . . . . . . . . . . . . . . . . . 260

7.7 War Story: Annealing Arrays . . . . . . . . . . . . . . . . . . . . 263

7.8 Other Heuristic SearchMethods . . . . . . . . . . . . . . . . . . 266

7.9 Parallel Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . 267

7.10 War Story: Going Nowhere Fast . . . . . . . . . . . . . . . . . . . 268

7.11 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270

8 Dynamic Programming 273

8.1 Caching versus Calculation . . . . . . . . . . . . . . . . . . . . . . 274

8.2 Approximate String Matching . . . . . . . . . . . . . . . . . . . . 280

8.3 Longest Increasing Sequence . . . . . . . . . . . . . . . . . . . . . 289

8.4 War Story: Evolution of the Lobster . . . . . . . . . . . . . . . . 291

8.5 The Partition Problem . . . . . . . . . . . . . . . . . . . . . . . . 294

8.6 Parsing Context-Free Grammars . . . . . . . . . . . . . . . . . . 298

8.7 Limitations of Dynamic Programming: TSP . . . . . . . . . . . . 301

8.8 War Story: What’s Past is Prolog . . . . . . . . . . . . . . . . . . 304

8.9 War Story: Text Compression for Bar Codes . . . . . . . . . . . 307

8.10 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310

9 Intractable Problems and Approximation Algorithms 316

9.1 Problems and Reductions . . . . . . . . . . . . . . . . . . . . . . 317

9.2 Reductions for Algorithms . . . . . . . . . . . . . . . . . . . . . . 319

9.3 Elementary Hardness Reductions . . . . . . . . . . . . . . . . . . 323

9.4 Satisfiability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 328

9.5 Creative Reductions . . . . . . . . . . . . . . . . . . . . . . . . . 330

9.6 The Art of Proving Hardness . . . . . . . . . . . . . . . . . . . . 334

9.7 War Story: Hard Against the Clock . . . . . . . . . . . . . . . . . 337

9.8 War Story: And Then I Failed . . . . . . . . . . . . . . . . . . . . 339

9.9 P versus NP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341

9.10 Dealing with NP-complete Problems . . . . . . . . . . . . . . . . 344

9.11 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350

 

The Algorithm Design Manual Senond Edition eBook Free Download

 

The Algorithm Design Manual Senond Edition eBook Free Download

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