enh(CPlusPlus): heap-sort (#290)

* Update heap-sort.cpp

* Update heap-sort.cpp

C++ can still allocate arrays on the heap with dynamic size.
pull/291/head
Ranu Singh 2021-05-10 17:17:30 +05:30 committed by GitHub
parent 4d4e3319b6
commit d2205468ef
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 81 additions and 59 deletions

View File

@ -1,66 +1,88 @@
#include <iostream> /* Heap sort in c++ */
using namespace std;
void heapify(int a[], int n, int i);
void heapSort(int a[], int n);
// Driver code #include <iostream>
using namespace std;
// A function to heapify the array.
void MaxHeapify(int a[], int i, int n)
{
int j, temp;
temp = a[i];
j = 2*i;
while (j <= n)
{
if (j < n && a[j+1] > a[j])
j = j+1;
// Break if parent value is already greater than child value.
if (temp > a[j])
break;
// Switching value with the parent node if temp < a[j].
else if (temp <= a[j])
{
a[j/2] = a[j];
j = 2*j;
}
}
a[j/2] = temp;
return;
}
void HeapSort(int a[], int n)
{
int i, temp;
for (i = n; i >= 2; i--)
{
// Storing maximum value at the end.
temp = a[i];
a[i] = a[1];
a[1] = temp;
// Building max heap of remaining element.
MaxHeapify(a, 1, i - 1);
}
}
void Build_MaxHeap(int a[], int n)
{
int i;
for(i = n/2; i >= 1; i--)
MaxHeapify(a, i, n);
}
int main() int main()
{ {
cout << "Enter the length of array" << endl; int n, i;
int n; cout<<"\nEnter the number of data element to be sorted: ";
cin>>n; cin>>n;
int *a = new int(n); n++;
// Getting elements of array int* arr = new int[n];
cout << "Enter the elements of array" << endl; for(i = 1; i < n; i++)
for (int i = 0; i < n; i++) {
cin >> a[i]; cout<<"Enter element "<<i<<": ";
cout << "Original array:\n"; cin>>arr[i];
for (int i = 0; i < n; i++) }
cout << a[i] << " "; // Building max heap.
heapSort(a, n); Build_MaxHeap(arr, n-1);
cout << "\nSorted array:\n"; HeapSort(arr, n-1);
for (int i = 0; i < n; i++)
cout << a[i] << " "; // Printing the sorted data.
delete (a); cout<<"\nSorted Data ";
for (i = 1; i < n; i++)
cout<<"->"<<arr[i];
cout<<"\nTime Complexity: Best case = Avg case = Worst case = O(n logn)";
return 0; return 0;
} }
// To heapify a subtree rooted with node i which is an index in a[] /* Runtime test case:-
void heapify(int a[], int n, int i)
{
int largest = i; // Initialize largest as root
int l = 2 * i + 1;
int r = 2 * i + 2;
// If left child is larger than root Enter the number of data elements to be sorted: 7
if (l < n && a[l] > a[largest]) Enter element 1: 10
largest = l; Enter element 2: 8
Enter element 3: 12
Enter element 4: 1
Enter element 5: 2
Enter element 6: 0
Enter element 7: 15
// If right child is larger than largest so far Sorted Data ->0->1->2->8->10->12->15
if (r < n && a[r] > a[largest]) Time Complexity: Best case = Avg case = Worst case = O(n logn) */
largest = r;
// If largest is not root
if (largest != i)
{
swap(a[i], a[largest]);
// Recursively heapify the affected sub-tree
heapify(a, n, largest);
}
}
void heapSort(int a[], int n)
{
// Build heap (rearrange array)
for (int i = n / 2 - 1; i >= 0; i--)
heapify(a, n, i);
// One by one extract an element from heap
for (int i = n - 1; i > 0; i--)
{
// Move current root to end
swap(a[0], a[i]);
// call max heapify on the reduced heap
heapify(a, i, 0);
}
}