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DSA C#programming~10 mins

Partition Equal Subset Sum in DSA C# - Execution Trace

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Concept Flow - Partition Equal Subset Sum
Calculate total sum of array
↓
Is total sum even?
No→Return False: cannot partition
Yes↓
Set target = total sum / 2
↓
Use DP to check if subset sums to target
↓
If subset found
→Return True
No↓
Return False
Check if array can be split into two parts with equal sum by finding a subset with sum equal to half of total.
Execution Sample
DSA C#
int[] nums = {1, 5, 11, 5};
int total = 0;
foreach (int num in nums) total += num;
int target = total / 2;
bool canPartition = SubsetSum(nums, target);
Check if array {1,5,11,5} can be partitioned into two subsets with equal sum 11.
Execution Table
StepOperationSubset Sum TargetDP Array StateResult
1Calculate total sum22N/ATotal sum = 22
2Check if total sum is even22N/AYes, even
3Set target = total / 211N/ATarget = 11
4Initialize DP array11[True, False, False, False, False, False, False, False, False, False, False, False]DP[0] = True
5Process num = 111[True, True, False, False, False, False, False, False, False, False, False, False]DP[1] = True
6Process num = 511[True, True, False, False, False, True, True, False, False, False, False, False]DP[5] and DP[6] = True
7Process num = 1111[True, True, False, False, False, True, True, False, False, False, False, True]DP[11] = True (subset found)
8Result11N/AReturn True: partition possible
💡 DP[11] is True, meaning subset with sum 11 exists, so partition is possible
Variable Tracker
VariableStartAfter Step 4After Step 5After Step 6After Step 7Final
total02222222222
target01111111111
DP arrayN/A[True, False x11][True, True, False x10][True, True, False x3, True, True, False x5][True, True, False x3, True, True, False x4, True][True, True, False x3, True, True, False x4, True]
numN/AN/A1511N/A
Key Moments - 3 Insights
Why do we check if total sum is even before proceeding?
Because if total sum is odd (see Step 2), it's impossible to split into two equal parts, so we return False immediately.
What does DP array represent in this problem?
DP array at each index i shows if a subset sum of i is possible with processed numbers (see Steps 4-7). True means subset sum i can be formed.
Why does DP[11] being True mean partition is possible?
Because target is half of total sum (11), DP[11] True means a subset sums to 11, so the rest also sums to 11, allowing equal partition (Step 7).
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table at Step 5, what does DP[1] = True mean?
APartition is already found
BTotal sum is 1
CA subset with sum 1 is possible using processed numbers
DDP array is reset
💡 Hint
Refer to DP Array State column at Step 5 showing DP[1] = True means subset sum 1 is achievable
At which step does the algorithm find a subset equal to the target sum?
AStep 7
BStep 4
CStep 6
DStep 8
💡 Hint
Check Result column; Step 7 shows DP[11] = True meaning subset found
If the total sum was 23 instead of 22, what would happen at Step 2?
AAlgorithm proceeds to DP
BReturns False immediately
CSets target to 11
DThrows error
💡 Hint
Step 2 checks if total sum is even; odd sum means immediate False
Concept Snapshot
Partition Equal Subset Sum:
- Find if array can split into two equal sum subsets
- Calculate total sum; if odd, return False
- Use DP to check subset sums to total/2
- DP[i] = True means subset sum i possible
- If DP[target] True, partition exists
Full Transcript
Partition Equal Subset Sum checks if an array can be split into two subsets with equal sums. First, it calculates the total sum of the array. If the sum is odd, it returns False immediately because equal partition is impossible. If even, it sets the target as half the total sum. Then it uses a dynamic programming array where each index represents if a subset sum is possible. It initializes DP[0] as True because sum zero is always possible. It processes each number, updating the DP array to mark sums achievable with the current numbers. If at any point DP[target] becomes True, it means a subset with sum equal to half the total exists, so the array can be partitioned equally. Otherwise, it returns False. This approach efficiently solves the problem by reducing it to a subset sum check.

Practice

(1/5)
1. What does the Partition Equal Subset Sum problem ask you to determine about a given array of integers?
easy
A. If the array is sorted in ascending order
B. If the array contains any duplicate elements
C. If the array contains only positive numbers
D. If the array can be split into two subsets with equal sums

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: Clarify what is being checked

    It is not about duplicates, sorting, or positivity, but about equal sum partitioning.
  3. Final Answer:

    If the array can be split into two subsets with equal sums -> Option D
  4. Quick Check:

    Partition Equal Subset Sum = Split array into two equal sum subsets [OK]
Hint: Focus on splitting array into two equal sum parts [OK]
Common Mistakes:
  • Confusing with checking duplicates
  • Thinking about sorting order
  • Assuming all numbers must be positive
2. Which of the following C# code snippets correctly initializes a boolean array named dp of size sum + 1 for the Partition Equal Subset Sum problem?
easy
A. bool[] dp = new bool[sum];
B. bool[] dp = new bool(sum + 1);
C. bool[] dp = new bool[sum + 1];
D. bool dp = new bool[sum + 1];

Solution

  1. Step 1: Understand array initialization syntax in C#

    Arrays are initialized with square brackets and the size inside new[]. For size sum+1, use new bool[sum + 1].
  2. Step 2: Check each option

    bool[] dp = new bool[sum]; misses +1, bool dp = new bool[sum + 1]; uses wrong type declaration, bool[] dp = new bool(sum + 1); uses parentheses which is invalid.
  3. Final Answer:

    bool[] dp = new bool[sum + 1]; -> Option C
  4. Quick Check:

    Correct C# array syntax = bool[] dp = new bool[sum + 1]; [OK]
Hint: Use square brackets and new keyword for arrays in C# [OK]
Common Mistakes:
  • Forgetting +1 for array size
  • Using parentheses instead of square brackets
  • Declaring array as single bool variable
3. What will be the output of the following C# code snippet for the input array nums = new int[] {1, 5, 11, 5};?
bool CanPartition(int[] nums) {
    int sum = 0;
    foreach (int num in nums) sum += num;
    if (sum % 2 != 0) return false;
    int target = sum / 2;
    bool[] dp = new bool[target + 1];
    dp[0] = true;
    foreach (int num in nums) {
        for (int i = target; i >= num; i--) {
            dp[i] = dp[i] || dp[i - num];
        }
    }
    return dp[target];
}

Console.WriteLine(CanPartition(nums));
medium
A. true
B. false
C. Compile-time error
D. Runtime exception

Solution

  1. Step 1: Calculate total sum and check parity

    Sum = 1+5+11+5 = 22, which is even, so continue.
  2. Step 2: Use dynamic programming to check subset sum

    Target = 11. The dp array tracks if sum i is achievable. The code finds that subset {11} or {5,5,1} sums to 11, so dp[11] = true.
  3. Final Answer:

    true -> Option A
  4. Quick Check:

    Sum even and subset sum found = true [OK]
Hint: Check if half sum subset exists using dp array [OK]
Common Mistakes:
  • Not checking if sum is even
  • Incorrect dp array update direction
  • Returning false prematurely
4. Identify the bug in the following C# code snippet for Partition Equal Subset Sum and select the correct fix:
bool CanPartition(int[] nums) {
    int sum = 0;
    foreach (int num in nums) sum += num;
    if (sum % 2 != 0) return false;
    int target = sum / 2;
    bool[] dp = new bool[target];
    dp[0] = true;
    foreach (int num in nums) {
        for (int i = target; i >= num; i--) {
            dp[i] = dp[i] || dp[i - num];
        }
    }
    return dp[target];
}
medium
A. Initialize dp array with false values explicitly
B. Change dp array size to target + 1
C. Change loop to iterate from 0 to target
D. Remove the dp[0] = true assignment

Solution

  1. Step 1: Check dp array size and indexing

    dp array is declared with size target, but dp[target] is accessed, causing out-of-range error.
  2. Step 2: Fix array size to include target index

    Change dp size to target + 1 to safely access dp[target].
  3. Final Answer:

    Change dp array size to target + 1 -> Option B
  4. Quick Check:

    Array size must cover all indices used [OK]
Hint: Array size must be one more than max index accessed [OK]
Common Mistakes:
  • Ignoring array index out of range
  • Changing loop direction unnecessarily
  • Removing dp[0] initialization
5. Given the array nums = new int[] {2, 2, 3, 5}, which of the following statements is true regarding the Partition Equal Subset Sum problem?
hard
A. The array cannot be partitioned into two subsets with equal sum
B. The array can be partitioned into two subsets with equal sum: {2,3} and {2,5}
C. The array can be partitioned into two subsets with equal sum: {2,2,3} and {5}
D. The array can be partitioned into two subsets with equal sum: {3,5} and {2,2}

Solution

  1. Step 1: Calculate total sum of array elements

    Sum = 2 + 2 + 3 + 5 = 12, which is even, so partition might be possible.
  2. Step 2: Check possible subsets for half sum (6)

    Half sum = 6. Possible subsets: {2,2,2} no (only two 2s), {3,3} no (only one 3), {5,1} no 1 missing. No subset sums to 6 exactly.
  3. Step 3: Verify given options

    The array can be partitioned into two subsets with equal sum: {2,3} and {2,5} sums: {2,3}=5 and {2,5}=7 (not equal). The array can be partitioned into two subsets with equal sum: {2,2,3} and {5} sums: {2,2,3}=7 and {5}=5 (not equal). The array can be partitioned into two subsets with equal sum: {3,5} and {2,2} sums: {3,5}=8 and {2,2}=4 (not equal).
  4. Final Answer:

    The array cannot be partitioned into two subsets with equal sum -> Option A
  5. Quick Check:

    Sum even but no subset sums to half sum = false [OK]
Hint: Check if any subset sums exactly to half total sum [OK]
Common Mistakes:
  • Assuming even sum means partition always possible
  • Incorrectly summing subsets
  • Ignoring subset element counts
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