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Word Subsets | Simple Thought Process | C++ | Java | Leetcode 916 | codestorywithMIK
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Hi Everyone, this is the 56th video of our Playlist "Strings : Popular Interview Problems".
Now we will be solving a good practice problem based on map and string - Word Subsets | Simple Thought Process | C++ | Java | Leetcode 916 | codestorywithMIK
Since this is a fairly small problem, hence I will also code it in Java in the video itself. Hope that helps.
Problem Name : Word Subsets | Simple Thought Process | C++ | Java | Leetcode 916 | codestorywithMIK
Company Tags : Amazon, Google
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Video Summary :
This approach determines the universal strings in words1 by comparing character frequencies. Here's a breakdown:
Calculate Maximum Character Frequencies for words2:
Iterate through each string in words2.
Use a temporary frequency array (temp) to count the occurrences of each character in the current string.
Update a global frequency array (freq2) to store the maximum frequency of each character across all strings in words2.
Check Each String in words1:
For each string in words1, calculate its character frequency using a temporary array (temp).
Compare the frequencies in temp with freq2 using the isSubset helper function.
If temp satisfies the subset condition, add the string to the result.
Helper Function (isSubset):
Compares two frequency arrays and ensures that for each character, the frequency in temp is at least as much as in freq2.
Key Insight:
By precomputing the maximum frequency requirements for words2, the algorithm efficiently checks each string in words1 for universality without redundant computations.
✨ Timelines✨
00:00 - Introduction
00:17 - Motivation
01:35 - Problem Explanation
05:25 - Thought Process with examples
11:36 - Small Dry Run
16:11 - Coding in C++
23:27 - Coding in JAVA
#MIK #mik #Mik
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