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#quick-sort-algorithm-c-python-java-example-Data-Structures
Updated: 01/02/2023 by Computer Hope
The Quick Sort algorithm is a highly efficient sorting technique widely used in various applications due to its fast processing capabilities. Quick Sort operates on the principle of divide and conquer, breaking down a large array into smaller subarrays to efficiently organize and sort the data.
In this article, we’ll dive deep into understanding the Quick Sort algorithm, its implementation in C, and its role in the realm of data structures.
Quick Sort is a recursive algorithm that works by partitioning an array into two subarrays. A pivot element is chosen, and the array is divided such that:
These subarrays are then sorted recursively until the entire array is sorted. The simplicity and speed of Quick Sort make it a preferred choice for sorting large datasets.
Below is the implementation of Quick Sort in C:
#include<stdio.h>
#include<conio.h>
// Partition function to sort and position pivot
int quick(int *p, int l, int u) {
int pos = l, t;
while (1) {
while (p[u] > p[pos] && pos != u)
u--;
if (pos == u)
return pos;
else {
t = p[pos];
p[pos] = p[u];
p[u] = t;
pos = u;
}
while (p[l] <= p[pos] && pos != l)
l++;
if (pos == l)
return pos;
else {
t = p[pos];
p[pos] = p[l];
p[l] = t;
pos = l;
}
}
}
// Quick Sort function
void quicksort(int *p, int n) {
int lb = 0, ub = n - 1, pos;
int lower[10], upper[10], top = -1;
lower[++top] = lb;
upper[top] = ub;
while (top != -1) {
lb = lower[top];
ub = upper[top--];
pos = quick(p, lb, ub);
if (pos + 1 < ub) {
lower[++top] = pos + 1;
upper[top] = ub;
}
if (pos - 1 > lb) {
lower[++top] = lb;
upper[top] = pos - 1;
}
}
}
void main() {
int x[10], i;
clrscr();
printf("\n Enter Array X: ");
for (i = 0; i < 10; i++)
scanf("%d", &x[i]);
quicksort(x, 10); // Call to quicksort
printf("\n After Sorting: ");
for (i = 0; i < 10; i++)
printf(" %d", x[i]);
}
The recursive nature of Quick Sort ensures that the array becomes sorted efficiently.
The Quick Sort algorithm is a robust and efficient sorting technique, ideal for handling large datasets in a variety of applications. By dividing data into smaller, manageable pieces and sorting them recursively, Quick Sort delivers high performance with minimal space requirements.
Whether you are sorting numerical data, organizing strings, or implementing data structure algorithms like heaps or binary search trees, Quick Sort proves to be an invaluable tool in the programmer’s arsenal.