#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);
}
//Quick Sort Functions for Descending Order
// (2 Functions)
void quicksort(apvector
{
// top = subscript of beginning of vector being considered
// bottom = subscript of end of vector being considered
// this process uses recursion - the process of calling itself
int middle;
if (top < bottom)
{
middle = partition(array, top, bottom);
quicksort(array, top, middle); // sort top partition
quicksort(array, middle+1, bottom); // sort bottom partition
}
return;
}
//Function to determine the partitions
// partitions the array and returns the middle index (subscript)
int partition(apvector
{
int x = array[top];
int i = top - 1;
int j = bottom + 1;
int temp;
do
{
do
{
j - -;
}while (x >array[j]);
do
{
i++;
} while (x if (i < j) { temp = array[i]; // switch elements at positions i and j array[i] = array[j]; array[j] = temp; } }while (i < j); return j; // returns middle index }
If you mean sort the individual characters in a String:
{
String str; // the string to sort
char[] charArray = str.toCharArray();
java.util.Arrays.sort(charArray);
str = new String(charArray);
}
If you mean sort an array of Strings:
{
String[] strs; // the array of string to sort
java.util.Arrays.sort(strs);
} bubble sort technique. public class bubbleSort { public static void main(String a[]) { int i; int array[] = {12,9,4,99,120,1,3,10}; System.out.println("Values Before the sort:\n"); for(i = 0; i < array.length; i++) System.out.print( array[i]+" "); System.out.println(); bubble_srt(array, array.length); System.out.print("Values after the sort:\n"); for(i = 0; i a[j]){ t = a[j-1]; a[j-1]=a[j]; a[j]=t; } } } } }
Given an array, A, and the lower and upper bounds of a subarray within the array, sort the subarray:
1. If lower bound is not less than upper bound then exit. The subarray is sorted.
2. Pick a pivot value from the subarray at random
3. Swap the pivot value with the value located in the upper bound
4. Let left = lower bound
5. Let right = upper bound
6. Repeat while left<right
{
6.1. Increment left while left value is less than pivot value
6.2 Decrement right while right value is not less than pivot value
6.3. If left<right, swap left value with right value
}
7. Swap left value with upper bound value (the pivot)
8. Repeat algorithm using the current lower bound and left-1 as the upper bound
9. Repeat algorithm using the current upper bound and left+1 as the lower bound
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
quick sort is a divide and conquer method , it is not dynamic programming
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.
Bubble sort has no practical applications other than that it is often cited as an example of how not to write an algorithm. Insert sort is the best algorithm for sorting small lists of items and is often used in conjunction with quick sort to sort larger lists. Like insert sort, bubble sort is simple to implement and is a stable sort (equal items remain in the same order they were input). However, insert sort uses copy or move operations rather than swaps (which is actually three operations per swap) and is therefore quicker. The only time a bubble sort will work quicker than insert sort is when the array is already sorted, which renders the entire algorithm redundant. A modified algorithm that specifically tests if an array is sorted or not would be more efficient than a single-pass bubble sort.
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
Write an algorithm to find the root of quadratic equation
In a sorting algorithm the sort order can be changed by changing the comparison operator.
a write the algorithm to concatenate two given string
Explain and illustrate insertion sort algorithm to short a list of n numburs
quicksort should be O(n^2), but merge sort should be O(nlogn). but if you can modify partition algorithm with checking all values same in array from p to r, it could be O(nlogn).