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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
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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
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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
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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
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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
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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

Tree traversal

Traversing (or walking) a tree is the process of visiting all nodes of a tree and performing an operation at each node. But how should we do that? Should we start from the top of the tree or from the bottom? From the left or the right side? There are three different approaches that can be used to visit all the nodes in a tree: in-order, pre-order, and post-order.

In the following sections, we will deep dive into the uses and implementations of these three types of tree traversals.

In-order traversal

An in-order traversal visits all the nodes of a BST in ascending order, meaning it visits the nodes from the smallest to largest. An application of in-order traversal would be to sort a tree. Let's check out its implementation:

this.inOrderTraverse = function(callback){
    inOrderTraverseNode(root, callback); //{1}
};

The inOrderTraverse method receives a callback function as a parameter. This function can be used to perform the action we would like to execute when the node is visited...

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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