Heap Sort
Time Complexity: Time complexity of heapify is O(nLogn). Time complexity of createAndBuildHeap() is O(n) and overall time complexity of Heap Sort is O(nLogn).
hackerearth
GeeksForGeeks
visualization
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#include<bits/stdc++.h> | |
using namespace std; | |
void heapify(int a[], int n, int i) | |
{ | |
int largest = i; | |
int l = 2*i + 1; | |
int r = 2*i + 2; | |
// If left child is larger than root | |
if(l < n && a[l] > a[largest]) | |
largest = l; | |
if(r < n && a[r] > a[largest]) | |
largest = r; | |
if(largest != i) | |
{ | |
swap(a[i], a[largest]); | |
heapify(a, n,largest); | |
} | |
} | |
void heapSort(int ar[], int n) | |
{ | |
for(int i = n/2 - 1; i >= 0; i--){ | |
heapify(ar, n,i); | |
} | |
for(int i = n - 1; i >= 0; i--){ | |
swap(ar[0], ar[i]); | |
heapify(ar,i,0); | |
} | |
} | |
void print(int a[], int n) | |
{ | |
for(int i = 0 ; i < n; i++){ | |
cout << a[i] << " "; | |
} | |
cout << endl; | |
} | |
int main() | |
{ | |
int ar[] = {12, 11, 13, 5, 6, 7}; | |
int n = sizeof(ar)/sizeof(ar[0]); | |
heapSort(ar,n); | |
print(ar,n); | |
return 0; | |
} |
No comments:
Post a Comment