Combination Sum II | Simple Khandani Template | Leetcode 40 | codestorywithMIK
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This is the 16th Video of our Playlist "Backtracking : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a simple Backtracking Problem : Combination Sum II | Simple Khandani Template | Easy Code | Leetcode 40 | 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 : Combination Sum II | Simple Khandani Template | Easy Code | Leetcode 40 | codestorywithMIK
Company Tags : Adobe, Amazon, Microsoft
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/combina...
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Summary :
The provided approach is designed to find all unique combinations of numbers in a given array (candidates) that sum up to a specified target (target). The core idea is to use a backtracking algorithm, which explores potential combinations by building up partial solutions and discarding them if they don't lead to a valid solution.
Key Steps:
Sorting the Input:
The candidates array is first sorted to facilitate the identification and skipping of duplicate elements, ensuring that only unique combinations are considered.
Recursive Backtracking:
The solve function is called recursively, exploring different combinations by including or excluding each candidate.
It starts from the current index (idx) and adds elements to the current combination (curr). If the remaining target becomes zero, the current combination is valid and added to the result.
If the target becomes negative, the current path is discarded as it cannot produce a valid combination.
Avoiding Duplicates:
Within the loop, if a candidate is the same as the previous one, it is skipped to avoid generating duplicate combinations.
Base Cases:
The recursion terminates when the target becomes zero (valid combination) or negative (invalid path).
The algorithm efficiently generates all unique combinations that sum up to the target by leveraging sorting and careful pruning of the search space.
✨ Timelines✨
00:00 - Introduction
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