Two Non Repeating Elements in Array Using XOR in DSA C++ - Time & Space Complexity

Time Complexity: Two Non Repeating Elements in Array Using XOR

O(n)

Understanding Time Complexity

We want to understand how the time needed grows when finding two unique numbers in an array where all others repeat.

How does the number of steps change as the array gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

int xorAll = 0;
for (int num : arr) {
    xorAll ^= num;
}
int setBit = xorAll & (-xorAll);
int x = 0, y = 0;
for (int num : arr) {
    if (num & setBit) x ^= num;
    else y ^= num;
}
// x and y are the two unique numbers
    

This code finds two numbers that appear only once in an array where every other number appears twice, using XOR operations.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Two separate loops over the array.
• How many times: Each loop runs once over all elements, so twice in total.

How Execution Grows With Input

Each element is processed twice, so the total steps grow directly with the number of elements.

Input Size (n)	Approx. Operations
10	About 20 steps
100	About 200 steps
1000	About 2000 steps

Pattern observation: The work doubles the input size, so it grows linearly.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the two unique numbers grows directly in proportion to the array size.

Common Mistake

[X] Wrong: "Because there are two loops, the time complexity is O(n²)."

[OK] Correct: The loops run one after another, not nested, so their times add up, not multiply.

Interview Connect

Understanding this linear time approach shows you can solve problems efficiently without extra space, a skill valued in many coding challenges.

Self-Check

"What if the array had three unique numbers instead of two? How would the time complexity change?"

Practice

1. What is the main idea behind using XOR to find two non-repeating elements in an array where every other element repeats?

easy

A. XOR counts the frequency of each element

B. XOR sorts the array to separate unique elements

C. XOR of all elements gives XOR of the two unique elements

D. XOR swaps the two unique elements in the array

Solution

1. Step 1: Understand XOR properties

   XOR of a number with itself is 0, and XOR with 0 is the number itself.

2. Step 2: Apply XOR to all elements

   XORing all elements cancels out repeating elements, leaving XOR of two unique elements.

3. Final Answer:

   XOR of all elements gives XOR of the two unique elements -> Option C

4. Quick Check:

   XOR cancels duplicates, leaving unique pair XOR [OK]

Hint: XOR all elements to isolate unique pair XOR result [OK]

Common Mistakes:

• Thinking XOR sorts or counts elements
• Assuming XOR gives unique elements directly
• Confusing XOR with addition or subtraction

2. Which of the following C++ code snippets correctly initializes the XOR variable to find two unique elements in an array arr of size n?

easy

A. int xorVal = 0; for(int i = 1; i <= n; i++) xorVal ^= arr[i];

B. int xorVal = 0; for(int i = 0; i < n; i++) xorVal ^= arr[i];

C. int xorVal = 1; for(int i = 0; i < n; i++) xorVal ^= arr[i];

D. int xorVal = arr[0]; for(int i = 1; i < n; i++) xorVal += arr[i];

Solution

1. Step 1: Initialize XOR with 0

   Start with 0 because XOR with 0 returns the number itself.

2. Step 2: Loop through array correctly

   Loop from 0 to n-1 to cover all elements; use XOR assignment operator ^=.

3. Final Answer:

   int xorVal = 0; for(int i = 0; i < n; i++) xorVal ^= arr[i]; -> Option B

4. Quick Check:

   Correct loop and XOR initialization [OK]

Hint: Initialize XOR with 0 and loop from 0 to n-1 [OK]

Common Mistakes:

• Starting loop from 1 and missing first element
• Using addition instead of XOR
• Initializing XOR with 1 instead of 0
• Looping out of array bounds

3. What will be the output of the following C++ code snippet?

int arr[] = {2, 3, 7, 9, 2, 3};
int n = 6;
int xorVal = 0;
for(int i = 0; i < n; i++) {
    xorVal ^= arr[i];
}
std::cout << xorVal << std::endl;

medium

A. 14

B. 9

C. 7

D. 0

Solution

1. Step 1: XOR all elements

   Calculate XOR stepwise: 0^2=2, 2^3=1, 1^7=6, 6^9=15, 15^2=13, 13^3=14.

2. Step 2: Result is XOR of two unique elements

   Since 2 and 3 repeat, XOR leaves 7 and 9 combined as 14.

3. Final Answer:

   14 -> Option A

4. Quick Check:

   XOR of unique pair (7^9) = 14 [OK]

Hint: XOR duplicates cancel; result is XOR of unique elements [OK]

Common Mistakes:

• Calculating XOR incorrectly stepwise
• Assuming output is one unique element
• Confusing XOR with sum

4. Identify the error in the following code snippet that attempts to find two non-repeating elements using XOR:

int xorVal = 0;
for(int i = 0; i <= n; i++) {
    xorVal ^= arr[i];
}

medium

A. Loop runs out of array bounds causing runtime error

B. XOR operator is used incorrectly

C. xorVal should be initialized with arr[0]

D. Loop should start from 1 instead of 0

Solution

1. Step 1: Check loop bounds

   Loop runs from i=0 to i<=n, which means i goes up to n, exceeding array index (0 to n-1).

2. Step 2: Consequence of out-of-bounds access

   Accessing arr[n] causes undefined behavior or runtime error.

3. Final Answer:

   Loop runs out of array bounds causing runtime error -> Option A

4. Quick Check:

   Array index must be less than n [OK]

Hint: Use i < n in loops to avoid out-of-bounds [OK]

Common Mistakes:

• Using <= instead of < in loop condition
• Initializing xorVal incorrectly
• Starting loop from wrong index

5. Given the array arr = {4, 1, 2, 1, 2, 5}, which of the following steps correctly finds the two non-repeating elements using XOR?

hard

A. Add all elements and subtract twice the sum of repeating elements

B. Sort array, then pick first two elements as unique

C. XOR all elements to get 1, then XOR with 0 to get unique elements

D. XOR all elements to get 1, find rightmost set bit, partition array by this bit, XOR partitions separately

Solution

1. Step 1: XOR all elements

   XOR(4^1^2^1^2^5) = 4 ^ (1^1) ^ (2^2) ^ 5 = 4 ^ 0 ^ 0 ^ 5 = 1.

2. Step 2: Find rightmost set bit of XOR result

   Rightmost set bit of 1 is 1 (binary 0001).

3. Step 3: Partition array by this bit and XOR separately

   Group elements with this bit set and not set, XOR each group to find unique elements 4 and 5.

4. Final Answer:

   XOR all elements to get 1, find rightmost set bit, partition array by this bit, XOR partitions separately -> Option D

5. Quick Check:

   Partitioning by set bit isolates unique elements [OK]

Hint: Use rightmost set bit to split and XOR partitions [OK]

Common Mistakes:

• Skipping partition step after XOR
• Using sorting instead of XOR
• Confusing addition with XOR