Comb Sort is an efficient sorting algorithm that improves on Bubble Sort by eliminating turtles, or small values near the end of the list. It uses a gap sequence to compare and swap elements, gradually reducing the gap until it becomes 1, at which point it performs a final pass similar to Bubble Sort.
public class CombSortExample {
public static void combSort(int[] arr) {
int gap = arr.length;
boolean swapped = true;
while (gap != 1 || swapped) {
gap = getNextGap(gap);
swapped = false;
for (int i = 0; i < arr.length - gap; i++) {
if (arr[i] > arr[i + gap]) {
int temp = arr[i];
arr[i] = arr[i + gap];
arr[i + gap] = temp;
swapped = true;
}
}
}
}
private static int getNextGap(int gap) {
gap = (gap * 10) / 13;
return (gap < 1) ? 1 : gap;
}
public static void main(String[] args) {
int[] arr = {8, 4, 1, 56, 3, -44, 23, -6, 28, 0};
combSort(arr);
for (int i : arr) {
System.out.print(i + " ");
}
}
}
Console Output:
-44 -6 0 1 3 4 8 23 28 56
The gap starts as the full length of the array and is reduced using a shrink factor, typically 1.3. This reduction helps in comparing distant elements, thereby moving larger elements towards the end and smaller ones towards the beginning more efficiently than Bubble Sort.
Comb Sort is generally faster than Bubble Sort because it reduces the number of swaps by using a larger gap initially. This makes it particularly effective for lists with a large number of elements or when elements are initially far from their sorted position.
Imagine an array as a comb with teeth spaced according to the gap. As the gap decreases, the teeth come closer, allowing for more precise sorting. Initially, the comb skips many elements, but as it narrows, it sorts elements that are closer together.
Comb Sort is simple to implement and offers better performance than Bubble Sort for larger datasets. Its adaptive nature makes it suitable for sorting partially sorted arrays efficiently. Additionally, it uses a relatively small amount of memory, making it a space-efficient choice.
Comb Sort is often used in scenarios where memory usage is a concern, and quick sorting is required. It's particularly effective in applications dealing with large datasets where a simple yet efficient sorting algorithm is needed without the overhead of more complex algorithms like Quick Sort or Merge Sort.
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