Here, We will discuss about Heap Sort in C, their algorithm, implementation code in C, time and space complexity, and their applications.

**What is Heap Sort?**

**Heap Sort **is a comparison-based sorting algorithm. This sorting algorithm has more favorable worst-case *O(n log n)* runtime.

Heap Sort is an in-place algorithm but is not a stable sort.

Heaps can be used in sorting an array. In max-heaps, the maximum element will always be at the root.

Heap Sort uses this property of heap to sort the array.

**Heap Sort Algorithm**

- The tree satisfies Max-Heap property, then the largest element is stored at the root node.
**Swap:**Remove the root element and put at the end of the array (n^{th}position). Put the last item of the tree(heap) at the vacant place.**Remove:**Reduce the size of the heap by 1.**Heapify:**Heapify the root element again so that we have the largest element at root.- The process is repeated until all items of the list are sorted.

**Implementation** **of Radix Sort**

#### Program Code in C

```
#include<stdio.h>
//function to swap the position of two elements
void swap(int *a, int *b)
{
int temp = *a;
*a = *b;
*b = temp;
}
void heapify(int arr[], int n, int i)
{
//find largest among root, left and right child
int largest = i;
int left = 2*i+1;
int right = 2*i+2;
if(left<n && arr[left]>arr[largest])
largest = left;
if(right<n && arr[right]>arr[largest])
largest = right;
//swap and continue heapifying if root is not largest
if(largest != i)
{
swap(&arr[i], &arr[largest]);
heapify(arr, n, largest);
}
}
//main function to do heap sort
void heapsort(int arr[], int n)
{
//build max-heap
for(int i=n/2-1; i>=0; i--)
heapify(arr, n, i);
//heap sort
for(int i=n-1; i>=0; i--)
{
swap(&arr[0], &arr[i]);
//heapify root element to get highest element at root again
heapify(arr, i, 0);
}
}
//print an array
void printarray(int arr[], int n)
{
for(int i=0; i<n; i++)
printf("%d ", arr[i]);
printf("\n");
}
//Driver code
int main()
{
int data[] = {8, 4, 7, 1, 3, 5};
int n = sizeof(data)/sizeof(data[0]);
heapsort(data, n);
printf("Sorted array : ");
printarray(data, n);
}
```

Code language: C++ (cpp)

#### Output

`Sorted array : 1 3 4 5 7 8`

Code language: PHP (php)

**Time and Space Complexity of Radix Sort **

Time Complexity | |

Worst Case | O(n log n) |

Best Case | O(n log n) |

Average Case | O(n log n) |

Space Complexity | |

Worst Case | O(1) |

**Applications of Radix Sort **

Heap Sort is used when

- Systems concerned with security and embedded systems such as Linux Kernel.
- Want to extract smallest or largest from list of items without sorting the list

### Related:

#### Counting Sort

Here, We will discuss about Counting Sort in C, their algorithm, implementation code in C,…

#### Shell Sort

Here, We will discuss about Shell Sort in C, their algorithm, implementation code in C,…

#### Quick Sort

Here, We will discuss about Quick sort in C, their algorithm, implementation in C, time…

#### Bubble Sort

Here, We will learn about bubble sort in C, their algorithm, implementation in C, time…

#### Selection Sort

Here, We will discuss about selection sort in C, their algorithm, implementation code in C,…

#### Radix Sort

Here, We will discuss about Radix Sort in C, their algorithm, implementation code in C,…

*Want to Contribute*:-

If you like “**To The Innovation**” and want to contribute, you can mail your articles to 📧 **contribute@totheinnovation.com**. See your articles on the main page and help other coders.😎