Largest Combination With Bitwise AND Greater Than Zero | Detailed | Leetcode 2275 | codestorywithMIK
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This is the 20th Video of our Playlist "Bit-Manipulation : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a medium-easy bit manipulation related problem : Largest Combination With Bitwise AND Greater Than Zero | You will learn something | Leetcode 2275 | codestorywithMIK
I will also show some maths in this video which can be asked in interviews.
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 : Largest Combination With Bitwise AND Greater Than Zero | You will learn something | Leetcode 2275 | codestorywithMIK
Company Tags : will update
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Bit_Magic/Largest Combination With Bitwise AND Greater Than Zero.cpp
Leetcode Link : https://leetcode.com/problems/largest-combination-with-bitwise-and-greater-than-zero
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Summary :
The provided solutions focus on finding the maximum number of integers in an array that have a specific bit position set to 1. Here's a breakdown of the approach:
Bit Counting per Position:
We iterate over each bit position (up to 24 bits in this case, assuming a reasonable integer size for input constraints). This outer loop runs in constant time, O(24).
Inner Loop - Counting Set Bits:
For each bit position i, we iterate through the array candidates. Using bitwise operations, we check if the i-th bit is set in each integer.
If set, we increment a counter (countIth), which tracks how many numbers have this bit set.
Result Calculation:
After counting the set bits for each position, we update the result to store the maximum count of set bits found across all bit positions.
✨ Timelines✨
00:00 - Introduction
00:30 - Motivation
2:03 - Problem Explanation
6:30 - Thought Process
10:10 - Dry Run
15:31 - Story To Code
21:24 - Thoda Maths Hojae
26:29 - Coding it up
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