Database System Concepts
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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A binary search tree is a data structure that consists of JavaScript objects called "nodes". A tree always has a root node which holds its own integer value property and can have up to two child nodes (or leaf nodes), a left and right property. A leaf node holds a value attribute and, likewise, a left and right attribute each potentially pointing to another node in the binary tree. Think of it as a javascript object with potentially more sub-objects referenced by the left and right attributes. There are certain rules that apply to a binary tree: A node's left leaf node has a value that is <= than to its own value A node's right leaf node has a value that is => its own value. In other words: let node = { value: left: right: = this object's value> } You will be writing a function called isPresent that takes two arguments: the root object and a value (number), and returns a boolean true if the value is present in the tree or false if it is not present.

function isPresent(root, value) {

// your code here

// return boolean

}

Example test case:

Inputs:

root => { "value": 5, "left": { "value": 3, "left": { "value": 2, "left": null, "right": null }, "right": { "value": 4, "left": null, "right": null } }, "right": { "value": 7, "left": { "value": 6, "left": null, "right": null }, "right": { "value": 8, "left": null, "right": null } } }

value => 6

Output: true

Reasoning: 6 is the value of a leaf node in the binary tree ..

"left": { "value": 6, "left": null, "right": null }, ..

 

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