Counting Sort Algorithm in DSA C# - Time & Space Complexity

Time Complexity: Counting Sort Algorithm

O(n + k)

Understanding Time Complexity

Counting Sort is a special sorting method that works well when numbers are in a small range.

We want to know how the time it takes changes as the list size and number range grow.

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

public static void CountingSort(int[] arr, int maxValue) {
    int[] count = new int[maxValue + 1];
    foreach (int num in arr) {
        count[num]++;
    }
    int index = 0;
    for (int i = 0; i < count.Length; i++) {
        while (count[i]-- > 0) {
            arr[index++] = i;
        }
    }
}
    

This code sorts an array by counting how many times each number appears, then rebuilding the sorted array.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Counting each number in the input array and then rebuilding the sorted array.
• How many times: The first loop runs once for each element in the input (n times). The second loop runs once for each number in the range (k times), and inside it, the inner loop runs as many times as the count of that number.

How Execution Grows With Input

Explain the growth pattern intuitively.

Input Size (n)	Range Size (k)	Approx. Operations
10	5	About 10 + 5 = 15 operations
100	50	About 100 + 50 = 150 operations
1000	100	About 1000 + 100 = 1100 operations

Pattern observation: The time grows roughly by adding the input size and the range size, not multiplying them.

Final Time Complexity

Time Complexity: O(n + k)

This means the time grows linearly with the number of items and the range of numbers.

Common Mistake

[X] Wrong: "Counting Sort always runs in linear time regardless of the number range."

[OK] Correct: The time depends on both the number of items and the range size; if the range is very large, the algorithm slows down.

Interview Connect

Understanding Counting Sort's time helps you choose the right sorting method based on data size and range, a key skill in coding challenges and real projects.

Self-Check

"What if the input array contains negative numbers? How would the time complexity change if we adjust Counting Sort to handle them?"

Practice

1. What is the main idea behind the Counting Sort Algorithm?

easy

A. Count the occurrences of each element and use counts to place elements in order

B. Compare each element with every other element to sort

C. Divide the array into halves and sort recursively

D. Swap adjacent elements if they are in wrong order repeatedly

Solution

1. Step 1: Understand Counting Sort principle

   Counting sort counts how many times each value appears in the input.

2. Step 2: Use counts to place elements

   These counts help to directly place elements in the sorted output without comparisons.

3. Final Answer:

   Count the occurrences of each element and use counts to place elements in order -> Option A

4. Quick Check:

   Counting occurrences = A [OK]

Hint: Counting sort uses frequency counts, not comparisons [OK]

Common Mistakes:

• Thinking counting sort compares elements
• Confusing counting sort with merge sort
• Assuming counting sort works on all data types

2. Which of the following is the correct way to declare the count array for counting sort in C# if the input range is from 0 to 9?

easy

A. int[] count = new int[0];

B. int[] count = new int[10];

C. int[] count = new int[11];

D. int count = new int[9];

Solution

1. Step 1: Determine size of count array

   For range 0 to 9, we need 10 slots to count each number.

2. Step 2: Correct C# syntax for array declaration

   Use int[] count = new int[10]; to create an array of size 10.

3. Final Answer:

   int[] count = new int[10]; -> Option B

4. Quick Check:

   Array size = max value + 1 = 10 [OK]

Hint: Count array size = max element value + 1 [OK]

Common Mistakes:

• Using size less than max value + 1
• Declaring count as single int instead of array
• Using incorrect array size causing index errors

3. What will be the output of the following C# code snippet using counting sort on array int[] arr = {4, 2, 2, 8, 3, 3, 1}?

int max = 8;
int[] count = new int[max + 1];
int[] output = new int[arr.Length];

// Count occurrences
foreach (int num in arr) count[num]++;

// Modify count array
for (int i = 1; i <= max; i++) count[i] += count[i - 1];

// Build output
for (int i = arr.Length - 1; i >= 0; i--) {
    output[count[arr[i]] - 1] = arr[i];
    count[arr[i]]--;
}

// Print output
foreach (int num in output) Console.Write(num + " ");

medium

A. 1 2 2 3 3 4 8

B. 8 4 3 3 2 2 1

C. 1 3 2 2 3 4 8

D. 2 2 3 3 4 8 1

Solution

1. Step 1: Count occurrences of each number

   Count array after counting: [0,1,2,2,1,0,0,0,1]

2. Step 2: Modify count array to cumulative counts

   Cumulative count: [0,1,3,5,6,6,6,6,7]

3. Step 3: Place elements in output using counts

   Placing elements from right to left gives sorted array: 1 2 2 3 3 4 8

4. Final Answer:

   1 2 2 3 3 4 8 -> Option A

5. Quick Check:

   Sorted array = 1 2 2 3 3 4 8 [OK]

Hint: Use cumulative counts to place elements from right [OK]

Common Mistakes:

• Not using cumulative counts before placing elements
• Placing elements from left to right causing wrong order
• Off-by-one errors in indexing output

4. Identify the error in this counting sort code snippet and choose the correct fix:

int max = 5;
int[] count = new int[max];
int[] arr = {1, 4, 3, 2, 5};

foreach (int num in arr) {
    count[num]++;
}

medium

A. Initialize count array with zeros explicitly

B. Change foreach loop to for loop

C. Change count array size to max + 1 to avoid index out of range

D. No error, code is correct

Solution

1. Step 1: Analyze count array size

   Count array size is 5, but max value is 5, so index 5 is out of range.

2. Step 2: Fix by increasing count array size

   Count array should be size max + 1 = 6 to include index 5 safely.

3. Final Answer:

   Change count array size to max + 1 to avoid index out of range -> Option C

4. Quick Check:

   Array size = max + 1 to cover all indices [OK]

Hint: Count array size must be max element + 1 [OK]

Common Mistakes:

• Using count array size equal to max value only
• Ignoring index out of range exceptions
• Assuming default array size is enough

5. You have an array int[] arr = {5, 3, 0, 2, 3, 5, 1, 4} and want to sort it using counting sort. However, the array may contain negative numbers in future. How should you modify the counting sort algorithm to handle negative numbers correctly?

hard

A. Sort negative and positive numbers separately and then merge

B. Ignore negative numbers as counting sort only works for positive numbers

C. Use a dictionary instead of an array for counts

D. Shift all numbers by adding the absolute value of the minimum negative number before counting

Solution

1. Step 1: Identify problem with negative numbers

   Counting sort uses array indices as counts, negative indices are invalid.

2. Step 2: Shift numbers to non-negative range

   Add absolute value of minimum negative number to all elements to make them non-negative.

3. Step 3: Apply counting sort on shifted values

   Sort shifted values, then shift back to original values after sorting.

4. Final Answer:

   Shift all numbers by adding the absolute value of the minimum negative number before counting -> Option D

5. Quick Check:

   Shift negatives to zero or above before counting [OK]

Hint: Shift negatives to zero or above before counting [OK]

Common Mistakes:

• Trying to use negative indices in count array
• Ignoring negative values in input
• Using dictionary without sorting logic