📖 Scenario: You work in a warehouse where you need to sort boxes by their weight quickly. The weights are small whole numbers. You want to use a fast method called Counting Sort to organize the boxes from lightest to heaviest.
🎯 Goal: Build a Java program that uses the Counting Sort algorithm to sort an array of box weights.
📋 What You'll Learn
Create an integer array called weights with exact values
Create a variable maxWeight to store the maximum weight
Implement the counting sort logic using arrays
Print the sorted array exactly as shown
💡 Why This Matters
🌍 Real World
Counting sort is useful in situations like sorting small-range numbers quickly, such as sorting grades, ages, or weights in a warehouse.
💼 Career
Understanding counting sort helps in jobs involving data processing, optimization, and algorithm design where fast sorting of limited-range data is needed.
Progress0 / 4 steps
1
Create the weights array
Create an integer array called weights with these exact values: 4, 2, 2, 8, 3, 3, 1.
DSA Java
Hint
Use int[] weights = {4, 2, 2, 8, 3, 3, 1}; to create the array.
2
Find the maximum weight
Create an integer variable called maxWeight and set it to the maximum value in the weights array, which is 8.
DSA Java
Hint
Set maxWeight to 8 because it is the highest number in the array.
3
Implement the counting sort logic
Write the counting sort logic using the weights array and maxWeight. Create a count array of size maxWeight + 1, count the occurrences of each weight, then overwrite weights with sorted values.
DSA Java
Hint
Use a count array to store counts, then fill weights in order.
4
Print the sorted weights array
Print the sorted weights array in one line separated by spaces using a for loop.
DSA Java
Hint
Use a for loop and System.out.print to print each number separated by spaces.
Practice
(1/5)
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
Step 1: Understand Counting Sort principle
Counting Sort counts how many times each value appears in the input.
Step 2: Use counts to place elements
These counts help to place elements directly in the sorted output without comparisons.
Final Answer:
Count the occurrences of each element and use counts to place elements in order -> Option A
Quick Check:
Counting occurrences = main idea [OK]
Hint: Counting Sort uses counts, not comparisons, to sort [OK]
Common Mistakes:
Thinking Counting Sort compares elements
Confusing Counting Sort with Quick Sort or Merge Sort
Assuming Counting Sort works well with all data types
2. Which of the following is the correct way to declare the count array for Counting Sort in Java if the input values range from 0 to 9?
easy
A. int[] count = new int[10];
B. int count[] = new int(10);
C. int count = new int[10];
D. int[] count = new int();
Solution
Step 1: Understand Java array declaration syntax
In Java, arrays are declared with type[], name = new type[size];
Step 2: Check each option for correct syntax
int[] count = new int[10]; uses correct syntax: int[] count = new int[10]; int count[] = new int(10); uses parentheses instead of brackets, invalid. int count = new int[10]; misses brackets on left side. int[] count = new int(); misses size in brackets.
Hint: Use square brackets and specify size for arrays in Java [OK]
Common Mistakes:
Using parentheses instead of square brackets
Not specifying array size when creating
Incorrect placement of brackets in declaration
3. What will be the output of the following Java code snippet using Counting Sort?
int[] arr = {4, 2, 2, 8, 3, 3, 1};
int max = 8;
int[] count = new int[max + 1];
for (int num : arr) {
count[num]++;
}
int index = 0;
for (int i = 0; i <= max; i++) {
while (count[i] > 0) {
arr[index++] = i;
count[i]--;
}
}
System.out.println(java.util.Arrays.toString(arr));
medium
A. [4, 2, 2, 8, 3, 3, 1]
B. [8, 4, 3, 3, 2, 2, 1]
C. [1, 2, 3, 4, 8]
D. [1, 2, 2, 3, 3, 4, 8]
Solution
Step 1: Count occurrences of each number
Count array after loop: count[1]=1, count[2]=2, count[3]=2, count[4]=1, count[8]=1, others=0.
Step 2: Rebuild sorted array using counts
Fill arr with 1 once, 2 twice, 3 twice, 4 once, 8 once in order.
Final Answer:
[1, 2, 2, 3, 3, 4, 8] -> Option D
Quick Check:
Sorted array matches [1, 2, 2, 3, 3, 4, 8] [OK]
Hint: Count frequencies, then overwrite array in order [OK]
Common Mistakes:
Not initializing count array size correctly
Forgetting to decrement count during placement
Printing original array without sorting
4. Identify the error in this Counting Sort code snippet and select the correct fix:
int[] arr = {3, 1, 2};
int max = 3;
int[] count = new int[max];
for (int num : arr) {
count[num]++;
}
medium
A. Change 'count[num]++' to 'count[num - 1]++' to fix indexing
B. Change 'int[] count = new int[max];' to 'int[] count = new int[max + 1];' to include max index
C. Initialize count array with size 'max - 1' instead of 'max' to save space
D. No error, code is correct as is
Solution
Step 1: Check count array size for indexing
Array 'count' size is max=3, so indices 0,1,2 are valid but input has value 3 which is out of bounds.
Step 2: Fix count array size to include max index
Size should be max+1=4 to allow index 3 access safely.
Final Answer:
Change 'int[] count = new int[max];' to 'int[] count = new int[max + 1];' to include max index -> Option B
Quick Check:
Array size must cover max value index [OK]
Hint: Count array size = max value + 1 to avoid index errors [OK]
Common Mistakes:
Using count array size equal to max value only
Adjusting indices incorrectly instead of size
Ignoring ArrayIndexOutOfBoundsException
5. Given an array arr = {5, 3, 0, 2, 3, 0, 1}, how would you modify the Counting Sort algorithm to sort it if the input can contain negative numbers as well? Choose the best approach.
hard
A. Use a hash map instead of an array for counts
B. Ignore negative numbers as Counting Sort cannot handle them
C. Shift all numbers by adding the absolute value of the minimum negative number before counting
D. Sort only the positive numbers and append negatives at the end
Solution
Step 1: Understand Counting Sort limitation with negatives
Counting Sort uses array indices as counts, so negative indices are invalid.
Step 2: Shift values to non-negative range
Find minimum value, add its absolute value to all elements to make them non-negative, then apply Counting Sort.
Final Answer:
Shift all numbers by adding the absolute value of the minimum negative number before counting -> Option C
Quick Check:
Shift negatives to positive range for Counting Sort [OK]
Hint: Add offset to handle negatives before counting [OK]
Common Mistakes:
Trying to use negative indices in count array
Ignoring negative values in input
Using incorrect data structures without reason
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