Most Frequent IDs | Complete Intuition | Leetcode 3092 | codestorywithMIK
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This is the 15th Video of our Playlist "Design Data Structure : Popular Interview Problems".
In this video we will try to solve an extremely good problem :
Most Frequent IDs | Complete Intuition | Leetcode 3092 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Most Frequent IDs | Complete Intuition | Leetcode 3092 | codestorywithMIK
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My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Design/Most%20Frequent%20IDs.cpp
Leetcode Link : https://leetcode.com/problems/most-frequent-ids/description/
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My Graph Concepts Playlist : https://youtu.be/5JGiZnr6B5w
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Approach Summary :
The given solution aims to find the most frequent IDs from two input arrays `nums` and `freq`. It utilizes a HashMap to store the frequency of each ID encountered while iterating through the input arrays. Additionally, a priority queue is employed to maintain the IDs sorted by their frequencies.
Here's a brief summary of the approach:
1. Initialize an empty HashMap (`mp`) to store the frequency of each ID encountered.
2. Initialize an empty priority queue (`pq`) to store pairs of frequencies and IDs.
3. Iterate through the input arrays `nums` and `freq`.
4. For each pair of corresponding elements `nums[i]` and `freq[i]`, update the frequency of the corresponding ID (`nums[i]`) in the HashMap (`mp`).
5. Push a pair containing the updated frequency and the ID into the priority queue (`pq`).
6. While the priority queue is not empty and the frequency of the top element in the priority queue does not match its frequency in the HashMap, pop elements from the priority queue.
7. Retrieve the frequency of the most frequent ID encountered so far from the top element of the priority queue and store it in the result array (`result`).
8. Return the result array containing the frequencies of the most frequent IDs encountered in the same order as the input `nums`.
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✨ Timelines✨
00:00 - Introduction
06:19 - Intuition (Thought Process)
14:03 - Example 2 Dry Run
22:55 - Story To Code
26:54 - Coding it up + Time & Space
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