Maximal Score After Applying K Operations | Standard Heap Problem | Leetcode 2530 | codestorywithMIK
264Whatsapp Community Link : https://www.whatsapp.com/channel/0029Va6kVSjICVfiVdsHgi1A
This is the 21st Video of our Playlist "Heap (Priority Queue): Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a standard Heap based Problem : Maximal Score After Applying K Operations | Standard Heap Problem | Time Complexity | Leetcode 2530 | codestorywithMIK
I will do the complete dry run as well which will help you visualize how the algorithm works.
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 : Maximal Score After Applying K Operations | Standard Heap Problem | Time Complexity | Leetcode 2530 | codestorywithMIK
Company Tags : will update
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Heap/Maximal Score After Applying K Operations.cpp
Leetcode Link : https://leetcode.com/problems/maximal-score-after-applying-k-operations
My DP Concepts Playlist : • Roadmap for DP | How to Start DP ? | ...
My Graph Concepts Playlist : • Graph Concepts & Qns - 1 : Graph will...
My Recursion Concepts Playlist : • Introduction | Recursion Concepts And...
My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Interview_DS_Algo
Instagram : https://www.instagram.com/codestorywithmik/
Facebook : https://www.facebook.com/people/codestorywithmik/100090524295846/
Twitter : https://twitter.com/CSwithMIK
Subscribe to my channel : / @codestorywithmik
╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗
║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣
╠╗║╚╝║║╠╗║╚╣║║║║║═╣
╚═╩══╩═╩═╩═╩╝╚╩═╩═╝
Summary :
The approach uses a max-heap (priority queue) to repeatedly extract the largest element from the input array nums and accumulate it into a running sum. After extracting the largest element, it's reduced by dividing it by 3 (rounded up using ceil()) and pushed back into the heap. This process is repeated k times, ensuring that we always work with the current maximum element. The max-heap allows efficient extraction and re-insertion of the largest elements, maintaining an optimal selection process throughout the iterations. The overall time complexity is O((n + k) log n).
✨ Timelines✨
00:00 - Introduction
#coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #hindi #india #coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge#leetcodequestions #leetcodechallenge #hindi #india #hindiexplanation #hindiexplained #easyexplaination #interview#interviewtips #interviewpreparation #interview_ds_algo #hinglish #github #design #data #google #video #instagram #facebook #leetcode #computerscience #leetcodesolutions #leetcodequestionandanswers #code #learning #dsalgo #dsa #coding #programming #100daysofcode #developers #techjobs #datastructures #algorithms #webdevelopment #softwareengineering #computerscience #pythoncoding #codinglife #coderlife #javascript #datascience #leetcode #leetcodesolutions #leetcodedailychallenge #codinginterview #interviewprep #technicalinterview #interviewtips #interviewquestions #codingchallenges #interviewready #dsa #hindi #india #hindicoding #hindiprogramming #hindiexplanation #hindidevelopers #hinditech #hindilearning #helpajobseeker #jobseekers #jobsearchtips #careergoals #careerdevelopment #jobhunt #jobinterview #github #designthinking #learningtogether #growthmindset #digitalcontent #techcontent #socialmediagrowth #contentcreation #instagramreels #videomarketing #codestorywithmik #codestorywithmick #codestorywithmikc #codestorywitmik #codestorywthmik #codstorywithmik #codestorywihmik #codestorywithmiik #codeistorywithmik #codestorywithmk #codestorywitmick #codestorymik #codestorwithmik