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Absolute Beginner's Guide to Algorithms Kirupa Chinnathambi

Absolute Beginner's Guide to Algorithms By Kirupa Chinnathambi

Absolute Beginner's Guide to Algorithms by Kirupa Chinnathambi


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Absolute Beginner's Guide to Algorithms Summary

Absolute Beginner's Guide to Algorithms: A Practical Introduction to Data Structures and Algorithms in JavaScript by Kirupa Chinnathambi

A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms.

With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same.

Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data.

  • Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more
  • Walk through popular search, sort, and graph algorithms
  • Understand Big-O notation and why some algorithms are fast and why others are slow
  • Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

About Kirupa Chinnathambi

Kirupa Chinnathambi has spent most of his life teaching others to love web development as much as he does. He founded KIRUPA, one of the Web's most popular free web development education resources, serving 210,000+ registered members. Now a product manager at Google, he has authored several books, including Learning React (2017). He holds a B.S. in computer science from MIT.

Table of Contents

Part I: Data Structures

Chapter 1. Introduction to Data Structures .................................................................. 1

Right Tool for the Right Job .................................................................................... 2

Back to Data Structures ........................................................................................... 5

Conclusion ................................................................................................................. 6

Chapter 2. Big-O Notation and Complexity Analysis ................................................... 7

It's Example Time ...................................................................................................... 8

It's Big-O Notation Time! .......................................................................................11

Conclusion ...............................................................................................................15

Chapter 3. Arrays ....................................................................................................... 17

What Is an Array? ....................................................................................................18

Array Implementation / Use Cases .......................................................................24

Arrays and Memory ................................................................................................26

Performance Considerations .................................................................................30

Conclusion ...............................................................................................................32

Chapter 4. Linked Lists ............................................................................................... 35

Meet the Linked List ...............................................................................................36

Linked List: Time and Space Complexity .............................................................40

Linked List Variations ..............................................................................................41

Implementation .......................................................................................................44

Conclusion ...............................................................................................................52

Chapter 5. Stacks ........................................................................................................ 53

Meet the Stack ........................................................................................................54

A JavaScript Implementation ................................................................................56

Stacks: Time and Space Complexity ....................................................................58

Conclusion ...............................................................................................................59

Chapter 6. Queues ..................................................................................................... 61

Meet the Queue .....................................................................................................62

A JavaScript Implementation ................................................................................64

Queues: Time and Space Complexity ..................................................................66

Conclusion ...............................................................................................................67

Chapter 7. Trees ......................................................................................................... 69

Trees 101 .................................................................................................................70

Height and Depth ...................................................................................................75

Conclusion ...............................................................................................................77

Chapter 8. Binary Trees .............................................................................................. 79

Meet the Binary Tree ..............................................................................................80

A Simple Binary Tree Implementation ..................................................................86

Conclusion ...............................................................................................................89

Chapter 9. Binary Search Trees ................................................................................... 91

It's Just a Data Structure ........................................................................................93

Implementing a Binary Search Tree ....................................................................103

Performance and Memory Characteristics .........................................................110

Conclusion .............................................................................................................112

Chapter 10. Heaps ...................................................................................................... 113

Meet the Heap ......................................................................................................114

Heap Implementation ..........................................................................................126

Performance Characteristics ................................................................................132

Conclusion .............................................................................................................134

Chapter 11. Hashtable (aka Hashmap or Dictionary) .................................................. 137

A Very Efficient Robot ..........................................................................................138

From Robots to Hashing Functions ....................................................................142

From Hashing Functions to Hashtables .............................................................145

JavaScript Implementation/Usage ......................................................................148

Dealing with Collisions .........................................................................................150

Performance and Memory ...................................................................................151

Conclusion .............................................................................................................153

Chapter 12. Trie (aka Prefix Tree) ............................................................................... 155

What Is a Trie? ......................................................................................................156

Diving Deeper into Tries ......................................................................................167

Many More Examples Abound! ..........................................................................172

Implementation Time ...........................................................................................173

Performance ..........................................................................................................179

Conclusion .............................................................................................................181

Chapter 13. Graphs .................................................................................................... 183

What Is a Graph? ..................................................................................................184

Graph Implementation .........................................................................................190

Conclusion .............................................................................................................196

Part II: Algorithms

Chapter 14. Introduction to Recursion ....................................................................... 199

Our Giant Cookie Problem ..................................................................................200

Recursion in Programming ..................................................................................202

Conclusion .............................................................................................................206

Chapter 15. Fibonacci and Going Beyond Recursion ................................................. 207

Recursively Solving the Fibonacci Sequence ....................................................209

Recursion with Memoization ...............................................................................213

Taking an Iteration-Based Approach ..................................................................215

Going Deeper on the Speed ..............................................................................217

Conclusion .............................................................................................................218

Chapter 16. Towers of Hanoi ...................................................................................... 221

How Towers of Hanoi Is Played ..........................................................................222

The Single Disk Case ...........................................................................................223

It's Two Disk Time .................................................................................................224

Three Disks ............................................................................................................225

The Algorithm .......................................................................................................228

The Code Solution ...............................................................................................229

Check Out the Recursiveness! ............................................................................231

It's Math Time ........................................................................................................232

Conclusion .............................................................................................................234

Chapter 17. Search Algorithms and Linear Search ..................................................... 235

Linear Search .........................................................................................................236

Conclusion .............................................................................................................241

Chapter 18. Faster Searching with Binary Search ....................................................... 243

Binary Search in Action ........................................................................................243

The JavaScript Implementation ..........................................................................250

Runtime Performance ...........................................................................................254

Conclusion .............................................................................................................257

Chapter 19. Binary Tree Traversal ............................................................................... 259

Breadth-First Traversal ..........................................................................................260

Depth-First Traversal ............................................................................................265

Implementing Our Traversal Approaches ..........................................................270

Performance of Our Traversal Approaches ........................................................278

Conclusion .............................................................................................................279

Chapter 20. Depth-First Search (DFS) and Breadth-First Search (BFS) ....................... 281

A Tale of Two Exploration Approaches ..............................................................282

It's Example Time ..................................................................................................285

When to Use DFS? When to Use BFS? ..............................................................298

A JavaScript Implementation ..............................................................................300

Performance Details .............................................................................................307

Conclusion .............................................................................................................308

Chapter 21. Quicksort ................................................................................................ 309

A Look at How Quicksort Works .........................................................................310

Another Simple Look ...........................................................................................314

It's Implementation Time .....................................................................................319

Performance Characteristics ................................................................................322

Conclusion .............................................................................................................323

Chapter 22. Bubblesort .............................................................................................. 325

How Bubblesort Works ........................................................................................326

Walkthrough ..........................................................................................................329

The Code ...............................................................................................................333

Conclusion .............................................................................................................333

Chapter 23. Insertion Sort .......................................................................................... 335

How Insertion Sort Works ....................................................................................336

One More Example ..............................................................................................347

Algorithm Overview and Implementation .........................................................349

Performance Analysis ...........................................................................................351

Conclusion .............................................................................................................353

Chapter 24. Selection Sort ......................................................................................... 355

Selection Sort Walkthrough .................................................................................356

Algorithm Deep Dive ...........................................................................................364

The JavaScript Implementation ..........................................................................366

Conclusion .............................................................................................................369

Chapter 25. Mergesort ............................................................................................... 371

How Mergesort Works .........................................................................................372

Mergesort: The Algorithm Details ......................................................................379

Looking at the Code ............................................................................................380

Conclusion .............................................................................................................381

Conclusion .................................................................................................................383

Index ............................................................................................................................ 387

Additional information

NGR9780138222291
9780138222291
0138222290
Absolute Beginner's Guide to Algorithms: A Practical Introduction to Data Structures and Algorithms in JavaScript by Kirupa Chinnathambi
New
Paperback
Pearson Education (US)
2024-01-07
416
N/A
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