Bird
Raised Fist0
DSA C++programming~5 mins

Partition Equal Subset Sum in DSA C++ - Cheat Sheet & Quick Revision

Choose your learning style10 modes available
Recall & Review
beginner
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.
Click to reveal answer
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.
Click to reveal answer
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.
Click to reveal answer
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.
Click to reveal answer
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.
Click to reveal answer
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
If the total sum of the array is 20, what sum should we try to find in a subset?
A5
B10
C20
D15
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
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
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)
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

      1. 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.
      2. 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.
      3. Final Answer:

        If the array can be split into two subsets with equal sums -> Option A
      4. 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;
      B. std::vector<int> dp(sum / 2 + 1, 0); dp[0] = 1;
      C. std::vector<bool> dp(sum / 2 + 1, false); dp[0] = true;
      D. std::vector<bool> dp(sum + 1, false); dp[sum] = true;

      Solution

      1. 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.
      2. 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].
      3. Final Answer:

        std::vector<bool> dp(sum / 2 + 1, false); dp[0] = true; -> Option C
      4. Quick Check:

        Boolean vector with dp[0] true = Correct initialization [OK]
      Hint: Use bool vector and set dp[0] = true for base case [OK]
      Common Mistakes:
      • Using int vector instead of bool
      • Incorrect dp array size
      • Setting wrong base case index
      3. What is the output of the following C++ code snippet for the input array {1, 5, 11, 5}?
      bool canPartition(std::vector<int>& nums) {
          int sum = 0;
          for (int num : nums) sum += num;
          if (sum % 2 != 0) return false;
          int target = sum / 2;
          std::vector<bool> dp(target + 1, false);
          dp[0] = true;
          for (int num : nums) {
              for (int j = target; j >= num; --j) {
                  dp[j] = dp[j] || dp[j - num];
              }
          }
          return dp[target];
      }
      
      int main() {
          std::vector<int> nums = {1, 5, 11, 5};
          std::cout << (canPartition(nums) ? "true" : "false") << std::endl;
          return 0;
      }
      medium
      A. true
      B. false
      C. Compilation error
      D. Runtime error

      Solution

      1. Step 1: Calculate total sum and check parity

        Sum = 1 + 5 + 11 + 5 = 22, which is even, so proceed.
      2. Step 2: Use DP to check subset sum of 11

        The code uses a boolean dp array to check if subset sum 11 is possible. The subsets {11} and {1,5,5} both sum to 11, so dp[11] becomes true.
      3. Final Answer:

        true -> Option A
      4. Quick Check:

        Subset sum 11 exists = true [OK]
      Hint: Check if half sum subset exists using DP [OK]
      Common Mistakes:
      • Assuming sum odd means true
      • Not iterating dp backwards
      • Confusing output with subset elements
      4. Identify the bug in the following code snippet for Partition Equal Subset Sum and select the fix:
      bool canPartition(std::vector<int>& nums) {
          int sum = 0;
          for (int num : nums) sum += num;
          if (sum % 2 != 0) return false;
          int target = sum / 2;
          std::vector<bool> dp(target + 1, false);
          dp[0] = true;
          for (int num : nums) {
              for (int j = num; j <= target; ++j) {
                  dp[j] = dp[j] || dp[j - num];
              }
          }
          return dp[target];
      }
      medium
      A. Change sum check to if (sum % 2 == 0) return false
      B. Initialize dp vector with true instead of false
      C. Remove dp[0] = true assignment
      D. Change inner loop to iterate backwards: for (int j = target; j >= num; --j)

      Solution

      1. Step 1: Analyze inner loop direction

        The inner loop iterates forwards, which causes dp to use updated values in the same iteration, leading to incorrect results.
      2. Step 2: Correct loop direction

        Iterating backwards ensures dp[j - num] uses values from previous iteration, preserving correctness.
      3. Final Answer:

        Change inner loop to iterate backwards: for (int j = target; j >= num; --j) -> Option D
      4. 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

      1. Step 1: Calculate total sum

        Sum = 2 + 2 + 3 + 5 = 12, which is even, so partition might be possible.
      2. 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.
      3. Final Answer:

        The array cannot be partitioned into two subsets with equal sum because no subset sums to half the total -> Option B
      4. 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
      Recommended

      Ready to prove it?

      Pass the test and this pattern moves unknown strong while earning +1 Grip toward your certificate.

      10 questions~5 mineasy hard