Heap Sort Algorithm | Heapify | GeeksforGeeks Beginner's DSA Sheet | Heap Tree
hola coders! In this video, I solve a Heap Sort problem from GeeksforGee. If you’ve ever struggled with Heap Sort, this is the perfect hands-on example to help you understand how it works in real coding scenarios. what’s in this video? Quick explanation of Heap Sort & Heapify Live problem-solving from GeeksforGeeks Writing clean & efficient code Analyzing time complexity Problem Link: https://www.geeksforgeeks.org/problems/heap-sort/1 Solution Link: https://github.com/debeshp6/Gfg-Tutorials Code class Solution { // Function to sort an array using Heap Sort. public void heapSort(int arr[]) { // code here int n = arr.length; for(int i=n/2-1; i>=0; i--) { heapify(arr,n,i); } for(int i=n-1; i>0; i--) { int temp = arr[0]; arr[0] = arr[i]; arr[i] = temp; heapify(arr,i,0); } } public void heapify(int[] arr, int n, int i) { 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; } if(largest != i) { int temp = arr[largest]; arr[largest] = arr[i]; arr[i] = temp; heapify(arr, n, largest); } } } Time Complexity: O(nlogn) if you're preparing for coding interviews or competitive programming, Heap Sort is a must-know algorithm, and this problem will strengthen your grasp on it!

hola coders!
In this video, I solve a Heap Sort problem from GeeksforGee. If you’ve ever struggled with Heap Sort, this is the perfect hands-on example to help you understand how it works in real coding scenarios.
what’s in this video?
- Quick explanation of Heap Sort & Heapify
- Live problem-solving from GeeksforGeeks
- Writing clean & efficient code
- Analyzing time complexity
Problem Link: https://www.geeksforgeeks.org/problems/heap-sort/1
Solution Link: https://github.com/debeshp6/Gfg-Tutorials
Code
class Solution {
// Function to sort an array using Heap Sort.
public void heapSort(int arr[]) {
// code here
int n = arr.length;
for(int i=n/2-1; i>=0; i--) {
heapify(arr,n,i);
}
for(int i=n-1; i>0; i--) {
int temp = arr[0];
arr[0] = arr[i];
arr[i] = temp;
heapify(arr,i,0);
}
}
public void heapify(int[] arr, int n, int i) {
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;
}
if(largest != i) {
int temp = arr[largest];
arr[largest] = arr[i];
arr[i] = temp;
heapify(arr, n, largest);
}
}
}
Time Complexity: O(nlogn)
if you're preparing for coding interviews or competitive programming, Heap Sort is a must-know algorithm, and this problem will strengthen your grasp on it!