Minimum Moves to Equal Array Elements II | 3 Approaches | Leetcode 462 | @codestorywithMIK
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Hi Everyone, this is 12th video of our Playlist "Sorting : Popular Interview Problems" by codestorywithMIK"
Today we will be solving a good problem based on Greedy Sorting : Minimum Moves to Equal Array Elements II | 3 Approaches | Intuitive | Leetcode 462 | codestorywithMIK
Problem Name : Minimum Moves to Equal Array Elements II | 3 Approaches | Intuitive | Leetcode 462 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Greedy/Minimum%20Moves%20to%20Equal%20Array%20Elements%20II.cpp
Leetcode Link : https://leetcode.com/problems/minimum-moves-to-equal-array-elements-ii
My DP Concepts Playlist : https://youtu.be/7eLMOE1jnls
My Graph Concepts Playlist : https://youtu.be/5JGiZnr6B5w
My Segment Tree Concepts Playlist : https://www.youtube.com/watch?v=k99r1A7krcY&list=PLpIkg8OmuX-K1qUIQToCllUO0UIKXt8dB
My Recursion Concepts Playlist : https://www.youtube.com/watch?v=pfb1Zduesi8&list=PLpIkg8OmuX-IBcXsfITH5ql0Lqci1MYPM
Trie Playlist - https://www.youtube.com/watch?v=DMP2bqW6URA&list=PLpIkg8OmuX-I99uuP2BZOz4mI_lms4gVG
Difference Array Technique: Concepts & Qns : https://www.youtube.com/watch?v=ZHNVmtm08WY&list=PLpIkg8OmuX-Kqkb8DqDe_4-Tiav6ilS_L
My Line Sweep Technique Playlist : https://www.youtube.com/watch?v=-FxkJiCyg5g&list=PLpIkg8OmuX-IOG_-Bv92l-EhuBQX28LOm
Meet In The Middle : Concepts & Qns : https://www.youtube.com/watch?v=NCr27WYjCH4&list=PLDdmvvl73yuo
Binary Lifting : Concepts & Questions : https://www.youtube.com/watch?v=WTtuOj6FXE8&list=PLpIkg8OmuX-IzZj8UNhVsiWKqTdDcHnP1
Top K from Sorted Structures Pattern : Concepts & Questions : https://www.youtube.com/watch?v=TZwPVMyG8-M&list=PLpIkg8OmuX-KFG7Ku_R-DEN5tk1EAy-8o
Small Java Dopamine Videos : https://www.youtube.com/playlist?list=PLpIkg8OmuX-KxhK6iSmDZeisqw3PEOEU5
My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Interview_DS_Algo
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Video Summary :
Approach-1 (Greedily Pick mid element): The sum of absolute distances is minimized at the median, so sort, take nums[n/2] as the target, and add up every element's distance to it.
Approach-2 (Iterate till n/2): Same median target, but pair the smallest with the largest (each pair costs the same for any target between them), so we only loop over half the array and add both sides' distances at once.
Approach-3 (Use nth_element / QuickSelect): We only need the median value, not a fully sorted array, so quickselect places nums[n/2] correctly in average O(n) and the same pairing loop gives the answer.
✨ Timelines✨
00:00 Introduction
00:07 Motivation
00:26 Problem Explanation
01:52 Thought Process - Brute Force
04:12 Approach-1
07:48 Approach-2
10:11 Approach-3
15:07 Coding it up
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Education here is 100% free and always will be.
If the content helped you and you'd like to support the channel with a coffee:
UPI: imammazhar4@ybl
--------------------------------------------------
Whatsapp Community Link : https://www.whatsapp.com/channel/0029Va6kVSjICVfiVdsHgi1A
Hi Everyone, this is 12th video of our Playlist "Sorting : Popular Interview Problems" by codestorywithMIK"
Today we will be solving a good problem based on Greedy Sorting : Minimum Moves to Equal Array Elements II | 3 Approaches | Intuitive | Leetcode 462 | codestorywithMIK
Problem Name : Minimum Moves to Equal Array Elements II | 3 Approaches | Intuitive | Leetcode 462 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Greedy/Minimum%20Moves%20to%20Equal%20Array%20Elements%20II.cpp
Leetcode Link : https://leetcode.com/problems/minimum-moves-to-equal-array-elements-ii
My DP Concepts Playlist : https://youtu.be/7eLMOE1jnls
My Graph Concepts Playlist : https://youtu.be/5JGiZnr6B5w
My Segment Tree Concepts Playlist : https://www.youtube.com/watch?v=k99r1A7krcY&list=PLpIkg8OmuX-K1qUIQToCllUO0UIKXt8dB
My Recursion Concepts Playlist : https://www.youtube.com/watch?v=pfb1Zduesi8&list=PLpIkg8OmuX-IBcXsfITH5ql0Lqci1MYPM
Trie Playlist - https://www.youtube.com/watch?v=DMP2bqW6URA&list=PLpIkg8OmuX-I99uuP2BZOz4mI_lms4gVG
Difference Array Technique: Concepts & Qns : https://www.youtube.com/watch?v=ZHNVmtm08WY&list=PLpIkg8OmuX-Kqkb8DqDe_4-Tiav6ilS_L
My Line Sweep Technique Playlist : https://www.youtube.com/watch?v=-FxkJiCyg5g&list=PLpIkg8OmuX-IOG_-Bv92l-EhuBQX28LOm
Meet In The Middle : Concepts & Qns : https://www.youtube.com/watch?v=NCr27WYjCH4&list=PLDdmvvl73yuo
Binary Lifting : Concepts & Questions : https://www.youtube.com/watch?v=WTtuOj6FXE8&list=PLpIkg8OmuX-IzZj8UNhVsiWKqTdDcHnP1
Top K from Sorted Structures Pattern : Concepts & Questions : https://www.youtube.com/watch?v=TZwPVMyG8-M&list=PLpIkg8OmuX-KFG7Ku_R-DEN5tk1EAy-8o
Small Java Dopamine Videos : https://www.youtube.com/playlist?list=PLpIkg8OmuX-KxhK6iSmDZeisqw3PEOEU5
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 : https://www.youtube.com/@codestorywithMIK
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║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣
╠╗║╚╝║║╠╗║╚╣║║║║║═╣
╚═╩══╩═╩═╩═╩╝╚╩═╩═╝
Video Summary :
Approach-1 (Greedily Pick mid element): The sum of absolute distances is minimized at the median, so sort, take nums[n/2] as the target, and add up every element's distance to it.
Approach-2 (Iterate till n/2): Same median target, but pair the smallest with the largest (each pair costs the same for any target between them), so we only loop over half the array and add both sides' distances at once.
Approach-3 (Use nth_element / QuickSelect): We only need the median value, not a fully sorted array, so quickselect places nums[n/2] correctly in average O(n) and the same pairing loop gives the answer.
✨ Timelines✨
00:00 Introduction
00:07 Motivation
00:26 Problem Explanation
01:52 Thought Process - Brute Force
04:12 Approach-1
07:48 Approach-2
10:11 Approach-3
15:07 Coding it up
#MIK #mik #Mik
#coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #india #coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #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 #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 Close description