## Design Add and Search Words Data Structure LeetCode Solution

Problem Statement: Design Add and Search Words Data Structure LeetCode Solution says – Design a data structure that supports adding new words and finding if a string matches any previously added string. Implement the WordDictionary class: WordDictionary() Initializes the object. void addWord(word) Adds word to the data structure, it can be matched later. bool search(word) Returns true if there …

## Implement Trie (Prefix Tree) Leetcode Solution

Problem Statement The Implement Trie (Prefix Tree) LeetCode Solution – “Implement Trie (Prefix Tree)” asks you to implement the Trie Data Structure that performs inserting, searching and prefix searching efficiently. Example: Input: [“Trie”, ”insert”, ”search”, ”search”, ”startsWith”, ”insert”, ”search”] [[], [“apple”], [“apple”], [“app”], [“app”], [“app”], [“app”]] Output: [null, null, true, false, true, null, true] Explanation: After inserting all the strings, trie looks like this. Word apple is searched which …

## Add and Search Word – Data structure design LeetCode

The problem “Add and Search Word – Data structure design LeetCode” asks us to create or design a new data structure. Such that which can be used for adding or storing a word and searching the words where the search function can search even a regular expression from the word. …

## Top K Frequent Words

In top K frequent words problem, we have given a list of words and an integer k. Print k most frequently used strings in the list. Example Input : list = {“code”, “sky”, “pen”, “sky”, “sky”, “blue”, “code”} k = 2 Output :  sky code Input : list = {“yes”, …

## Longest Common Prefix using Trie

In the Longest Common Prefix using Trie problem we have given a set of strings, find the longest common prefix. i.e. find the prefix part that is common to all the strings. Example Input1: {“tutorialcup”, “tutorial”, “tussle”, “tumble”} Output: “tu” Input2: {“baggage”, “banana”, “batsmen”} Output: “ba” Input3: {“abcd”} Output: “abcd” …

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