Auto-suggestion implementation using Trie Data Structure.

Trie data structure has many useful applications, one of the important applications of the trie is auto-suggestion when user inputs using the keyboard. Let us assume we have a dictionary that contains “APPLE”, “APE”, “GOD”, “GOOD”, “GUN”. So, when a user enters “GO” then our auto-suggestion suggests “GOD”, “GOOD” as a suggested list of words.Read More »

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Trie Data Structure

Trie data structures are useful to process and search in large character data sets. It takes only orders of word length to search a word in length file or a million words dictionary. Some examples where Trie’s use. In finding words in large files. In finding any word in the large dictionary of words. InRead More »

Clone given Graph

Given a graph with an adjacency list, we aim to clone the complete graph with edges. Cloning does creates a new memory for similar data. Let us understand this with a three-node example graph. We can solve this problem using either DFS or BFS. Let’s solve this problem using DFS. Our Graph object contains theRead More »

Binary search tree

A binary search tree is a binary tree, with the content of all elements in the left subtree of a node are lesser than the content in the parent. Whereas all nodes content in its right subtree are greater than its parent. Let’s see below two example binary search trees. As observed in the aboveRead More »

Stack data structure

Stack is the most popular and historical data structure. A list of items arranged one on top of others. Stack data structure popularly used to maintain program memory stack. It follows the last-in-first-out order. Let’s consider a stack of discs as shown in the below picture. As shown in this diagram, only the top nodeRead More »