ratheeshnellikkal
Answered On : Nov 6th, 2007
among the sorting algorithms quick sort is the best one
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Sorting techniques
Bubble sort
Selection sort
Insertion sort
Quick Sort
Heap Sort
Bucket Sort
Hashing technique.
BST could be classified as a sorting technique.
The best sorting technique for a particular problem largely depends upon the problem at hand ( domain and size of the problem ) and the resources available ( memory, CPU and time ).
Heap sort has the least worst case complexity.
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There are a few other sorting algorithms which are distribution based algorithms. Examples of these are Bucket Sort, Counting Sort, and Radix sort which can operate O(n) depending on the the input.

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There are various Sorting techniques
They are Internal and External Sorting.
Various Internal sorting tecniques are as follows:
Bubble sort
Insertion sort
Selection sort
Quick sort
Merge sort
Heap sort
Radix sort
bucket sort
Shell sort
For small input size shell sort is best choice
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Shell Sort, Radix Sort
The complexity is depend on the given data
If it is in sorted order insertion sort is best one and quick is worst
If not quick shows good results etc.
So it is just depend on the order of given data
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HEAP sort is the best algorithm
O(n log n) time for best, avg and worst case
O(1) space
let me know if any other sorting algorithm present if that exceeds the limit i gave
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akshay
Answered On : Aug 25th, 2011
BUBBLE SORT:
Code
BUBBLE SORT:
#include<iostream.h>
#include<string.h>
#include<math.h>
#include<stdlib.h>
void main()
{
int a[10],n,temp;
cout<<"Enter number of elements:";
cin>>n;
cout<<"Enter no's: "<<endl;
for(int i=0;i<n;i++)
{
cin>>a[i];
}
cout<<"Sorted list is:";
for(int m=0;m<n-1;m++)
{
for(int p=m+1;p<n;p++)
{
if(a[p]<a[m])
{
temp=a[p];
a[p]=a[m];
a[m]=temp;
}
}
}
for(int x=0;x<n;x++)
{
cout<<a[x]<<endl;
}
}
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