#include <stdio.h>
#include <stdlib.h>
#define size 50
void swap(int *x,int *y)
{
int temp;
temp = *x;
*x = *y;
*y = temp;
}
int partition(int i,int j )
{
return((i+j) /2);
}
void quicksort(int list[],int m,int n)
{
int key,i,j,k;
if( m < n)
{
k = partition(m,n);
swap(&list[m],&list[k]);
key = list[m];
i = m+1;
j = n;
while(i <= j)
{
while((i <= n) && (list[i] <= key))
i++;
while((j >= m) && (list[j] > key))
j--;
if( i < j)
swap(&list[i],&list[j]);
}
// swap two elements
swap(&list[m],&list[j]);
// recursively sort the lesser list
quicksort(list,m,j-1);
quicksort(list,j+1,n);
}
}
void printlist(int list[],int n)
{
int i;
for(i=0;i<n;i++)
printf("%d\t",list[i]);
}
void main()
{
int n,i;
int list[size];
printf("How many numbers do you want to enter");
scanf("%d",&n);
printf("Enter the numbers you want to sort");
for(i=0;i<n;i++)
{
scanf("%d",&list[i]);
}
printf("The list before sorting is:\n");
printlist(list,n);
// sort the list using quicksort
quicksort(list,0,n-1);
// print the result
printf("The list after sorting using quicksort algorithm:\n");
printlist(list,n);
}
You don't waste time computing a pivot.
penis
Use a sorting algorithm. There are a bewildering number of sorting algorithms, both stable and unstable. To sort numbers, an unstable sort suffices. The algorithm you use will depend on how many numbers need to be sorted (a small or a large set), however a hybrid algorithm (a combination of two or more algorithms) can cater for both. Introsort (unstable) and timsort (stable) are the two most common hybrid sorting algorithms.
Never. Bubble sort is often cited as an example of how not to write a sorting algorithm and is used purely as a programming exercise. It is never used in production code. Although reasonably efficient when sorting small lists, an insertion sort performs better on average. But for larger lists it has no practical uses. A merge sort is better for large lists, but if stability isn't an issue a quick sort is even better. Hybrid sorts typically use quick sort until a partition is small enough for an insertion sort to complete the job.
Here is the algorithm of the algorithm to write an algorithm to access a pointer in a variable. Algorithmically.name_of_the_structure dot name_of_the _field,eg:mystruct.pointerfield
Yes, Quick Sort is an in-place sorting algorithm.
The memory complexity of the quick sort algorithm is O(log n) in the best case and O(n) in the worst case.
quick sort is a divide and conquer method , it is not dynamic programming
The space complexity of the quick sort algorithm is O(log n) in the best and average cases, and O(n) in the worst case.
The space complexity of the Quick Sort algorithm is O(log n) in the best and average cases, and O(n) in the worst case.
The time complexity of the quick sort algorithm is O(n log n) in the average case and O(n2) in the worst case.
The worst case time complexity of the quick sort algorithm is O(n2), where n is the number of elements in the input array.
Quick sort is more efficient for large datasets compared to selection sort.
You don't waste time computing a pivot.
penis
The time complexity of the Quick Sort algorithm is O(n log n) on average and O(n2) in the worst case scenario. The space complexity is O(log n) on average and O(n) in the worst case scenario.
Use a sorting algorithm. There are a bewildering number of sorting algorithms, both stable and unstable. To sort numbers, an unstable sort suffices. The algorithm you use will depend on how many numbers need to be sorted (a small or a large set), however a hybrid algorithm (a combination of two or more algorithms) can cater for both. Introsort (unstable) and timsort (stable) are the two most common hybrid sorting algorithms.