15. Partition Equal Subset Sum
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The problem can be found at the following link:
For solving the "Subset Sum Problem," which is a classic dynamic programming problem. We have to determine if it's possible to partition an array into two subsets such that the sum of elements in both subsets is equal.
I start by calculating the total sum of all elements in the input array. If the sum is odd
, it's impossible to partition the array into two subsets with equal sums, so I return false
immediately.
I create a 2D DP array dp
, where dp[i][target]
represents whether it's possible to achieve a sum of target
using the first i
elements of the array.
I use a recursive function canPart
to fill the DP array. For each element in the array, I have two options:
Take the element into the subset by subtracting its value from the target sum.
Skip the element and move to the next one.
I recursively explore both options, and if I find a path that leads to the target sum, I set dp[i][target]
to true.
Time Complexity: The time complexity of this solution is O(N * target)
, where N
is the number of elements in the input array, and target is the target sum we are trying to achieve.
Auxiliary Space Complexity: The auxiliary space complexity is O(N * target)
as well because of the DP array.
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