What is the main goal of the Partition Equal Subset Sum problem?
To determine if a given set of positive integers can be split into two subsets with equal sums.
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beginner
Why do we check if the total sum of the array is even in the Partition Equal Subset Sum problem?
Because if the total sum is odd, it's impossible to split the array into two equal sum subsets.
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intermediate
What technique is commonly used to solve the Partition Equal Subset Sum problem efficiently?
Dynamic programming, specifically a subset sum approach to check if a subset with sum equal to half of total sum exists.
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intermediate
In the dynamic programming solution, what does the boolean DP table represent?
DP[i][j] is true if a subset of the first i numbers has a sum equal to j, otherwise false.
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intermediate
What is the time complexity of the dynamic programming solution for Partition Equal Subset Sum?
O(n * sum/2), where n is the number of elements and sum is the total sum of the array.
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What is the first step before applying dynamic programming in Partition Equal Subset Sum?
AReverse the array
BSort the array
CCheck if total sum is even
DFind the maximum element
✗ Incorrect
Checking if the total sum is even is essential because if it's odd, partitioning into equal subsets is impossible.
If the total sum of the array is 20, what sum should we try to find in a subset?
A5
B10
C20
D15
✗ Incorrect
We try to find a subset with sum equal to half of total sum, which is 10.
What does DP[i][j] = true mean in the DP table?
ASubset of first i elements has sum j
BSum j is impossible with first i elements
CSubset of first j elements has sum i
DSum i is impossible with first j elements
✗ Incorrect
DP[i][j] = true means a subset of the first i elements can form sum j.
Which of these is NOT a valid approach to solve Partition Equal Subset Sum?
AGreedy sorting and splitting
BBacktracking with memoization
CDynamic programming subset sum
DBitset optimization for subset sums
✗ Incorrect
Greedy sorting and splitting does not guarantee correct partitioning for this problem.
What is the space complexity of the classic DP solution for Partition Equal Subset Sum?
AO(n)
BO(1)
CO(sum)
DO(n * sum/2)
✗ Incorrect
The DP table stores boolean values for n elements and sums up to sum/2, so space is O(n * sum/2).
Explain how dynamic programming helps solve the Partition Equal Subset Sum problem.
Think about how to find if a subset with a specific sum exists.
You got /4 concepts.
Describe the steps to implement the Partition Equal Subset Sum solution using dynamic programming.
Start from sum calculation and end with DP table lookup.
You got /5 concepts.
Practice
(1/5)
1. What does the Partition Equal Subset Sum problem ask you to determine about a given array of positive integers?
easy
A. If the array can be split into two subsets with equal sums
B. If the array contains any duplicate elements
C. If the array is sorted in ascending order
D. If the array contains only even numbers
Solution
Step 1: Understand the problem statement
The problem asks whether the array can be divided into two parts where the sum of elements in both parts is the same.
Step 2: Identify the key condition
This means the total sum of the array must be even, and there must be a subset with sum equal to half of the total sum.
Final Answer:
If the array can be split into two subsets with equal sums -> Option A
Quick Check:
Partition Equal Subset Sum = Split into equal sum subsets [OK]
Hint: Check if total sum is even to start [OK]
Common Mistakes:
Thinking it checks for duplicates
Assuming sorting is required
Confusing with subset sum existence
2. Which of the following C++ code snippets correctly initializes a boolean DP array for the Partition Equal Subset Sum problem with size (sum/2 + 1) and sets the base case?
easy
A. bool dp[sum / 2 + 1]; std::fill(dp, dp + sum / 2 + 1, false); dp[0] = true;
D. std::vector<bool> dp(sum + 1, false); dp[sum] = true;
Solution
Step 1: Choose correct data type and size
We need a boolean vector of size (sum/2 + 1) to track subset sums. std::vector<bool> dp(sum / 2 + 1, false); dp[0] = true; uses correct size and type.
Step 2: Set base case correctly
dp[0] = true means sum zero is always possible. std::vector<bool> dp(sum / 2 + 1, false); dp[0] = true; does this correctly. std::vector<int> dp(sum / 2 + 1, 0); dp[0] = 1; uses int vector, which is less appropriate. std::vector<bool> dp(sum + 1, false); dp[sum] = true; uses wrong size and sets dp[sum] instead of dp[0].
Change inner loop to iterate backwards: for (int j = target; j >= num; --j) -> Option D
Quick Check:
Backward iteration in DP loop fixes state update [OK]
Hint: Iterate dp array backwards to avoid overwriting states [OK]
Common Mistakes:
Iterating dp forwards causing wrong results
Incorrect dp initialization
Wrong sum parity check
5. Given the array {2, 2, 3, 5}, which of the following statements is true regarding the Partition Equal Subset Sum problem?
hard
A. The array can be partitioned into two subsets with equal sum: {2,3} and {2,5}
B. The array cannot be partitioned into two subsets with equal sum because no subset sums to half the total
C. The array can be partitioned into two subsets with equal sum: {2,2,3} and {5}
D. The array cannot be partitioned into two subsets with equal sum because total sum is odd
Solution
Step 1: Calculate total sum
Sum = 2 + 2 + 3 + 5 = 12, which is even, so partition might be possible.
Step 2: Check for subset with sum 6
Half sum = 6. Possible subsets:
- {2,2,3} sum = 7 (too high)
- {2,3} sum = 5 (too low)
- {5} sum = 5 (too low)
- {2,2} sum = 4 (too low)
No subset sums exactly to 6.
Final Answer:
The array cannot be partitioned into two subsets with equal sum because no subset sums to half the total -> Option B
Quick Check:
Half sum subset missing = No partition [OK]
Hint: Check if half sum subset exists before concluding [OK]
Common Mistakes:
Assuming total sum even means partition possible
Incorrect subset sums calculation
Confusing subsets with unequal sums
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