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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

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

Learning JavaScript Data Structures and Algorithms

4.3 (24)
By: Loiane Avancini

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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Binary tree and binary search tree


A node in a binary tree has at most two children: one left child and one right child. This definition allows us to write more efficient algorithms for inserting, searching, and deleting nodes to/from a tree. Binary trees are largely used in computer science.

A binary search tree is a binary tree, but it only allows you to store nodes with lesser values on the left side and nodes with greater values on the right side. The diagram in the previous topic exemplifies a binary search tree.

This will be the data structure we will be working on in this chapter.

Creating the BinarySearchTree class

Let's start by creating our BinarySearchTree class. First, let's declare its skeleton:

function BinarySearchTree() {

    var Node = function(key){ //{1}
        this.key = key;
        this.left = null;
        this.right = null;
    };

    var root = null; //{2}
}

The following diagram exemplifies how our Binary Search Tree (BST) will be organized in terms of data structure...

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Learning JavaScript Data Structures and Algorithms
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