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  • Book Overview & Buying Learning JavaScript Data Structures and Algorithms
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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

By : Loiane Avancini
4.3 (24)
Buy this Book
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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

4.3 (24)
By: Loiane Avancini
Buy this Book

Overview of this book

If you are a JavaScript developer or someone who has basic knowledge of JavaScript, and want to explore its optimum ability, this fast-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. JavaScript – A Quick Overview
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1. JavaScript – A Quick Overview
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Setting up the environment
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JavaScript basics
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Control structures
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Functions
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Object-oriented programming
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Debugging and tools
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Summary
2
2. Arrays
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2. Arrays
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Why should we use arrays?
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Creating and initializing arrays
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Adding and removing elements
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Two-dimensional and multi-dimensional arrays
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References for JavaScript array methods
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Summary
3
3. Stacks
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3. Stacks
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Creating a stack
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Decimal to binary
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Summary
4
4. Queues
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4. Queues
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Creating a queue
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The priority queue
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The circular queue – Hot Potato
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Summary
5
5. Linked Lists
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5. Linked Lists
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Creating a linked list
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Doubly linked lists
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Circular linked lists
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Summary
6
6. Sets
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6. Sets
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Creating a set
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Set operations
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Summary
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7. Dictionaries and Hashes
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7. Dictionaries and Hashes
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Dictionaries
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The hash table
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Summary
8
8. Trees
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8. Trees
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Trees terminology
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Binary tree and binary search tree
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Tree traversal
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Searching for values in a tree
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More about binary trees
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Summary
9
9. Graphs
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9. Graphs
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Graph terminology
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Representing a graph
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Creating the Graph class
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Graph traversals
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Summary
10
10. Sorting and Searching Algorithms
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10. Sorting and Searching Algorithms
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Sorting algorithms
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Searching algorithms
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Summary
11
Index
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Index

Searching for values in a tree

There are three types of searches that are usually performed in trees:

  • Minimum values

  • Maximum values

  • Searching for a specific value

Let's take a look at each one.

Searching for minimum and maximum values

Let's use the following tree for our examples:

Just looking at the preceding figure, could you easily find the minimum and maximum values of the tree?

If you take a look at the left-most node in the last level of tree, you will find the value 3, which is the lowest key from this tree. And if you take a look at the node that is furthest to the right (also in the last level of the tree), you will find the key 25, which is the highest key in this tree. This information helps us a lot when implementing methods that will find the minimum and maximum nodes of the tree.

First, let's take a look at the method that will find the minimum key of the tree:

this.min = function() {
    return minNode(root); //{1}
};

The min method will be the method exposed to the user. This method...

CONTINUE READING
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Tech Concepts
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Programming languages
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Learning JavaScript Data Structures and Algorithms
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