Split a String Into the Max Number of Unique Substrings | Khandani Template | Dry Run |Leetcode 1593
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This is the 17th Video of our Playlist "Backtracking : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve an standard backtracking Problem : Split a String Into the Max Number of Unique Substrings | Khandani Backtracking Template | Leetcode 1593 | 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 : Split a String Into the Max Number of Unique Substrings | Khandani Backtracking Template | Leetcode 1593 | codestorywithMIK
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Summary :
The approach to solving the problem of finding the maximum number of unique substrings involves a backtracking algorithm with pruning for optimization:
Recursive Backtracking: The algorithm recursively tries to split the input string s into all possible unique substrings. Starting from an index idx, it explores substrings by progressively expanding the current substring and checking if it's already used (via a HashSet).
Pruning: A pruning condition is applied to avoid unnecessary recursion if the current substring count plus remaining characters can't exceed the maximum found so far, improving efficiency.
Tracking Maximum Count: During the recursive process, if a valid unique substring split is found (when idx reaches the end of the string), the algorithm updates the maximum number of unique substrings (maxCount).
Backtracking: After considering each substring, it backtracks by removing it from the set, ensuring other combinations can be explored.
This method ensures that all potential splits are examined while keeping track of the maximum number of unique splits found.
✨ Timelines✨
00:00 - Introduction
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