Recall & Review
beginner
What is the main idea behind the Heap Sort algorithm?
Heap Sort uses a special tree structure called a heap to sort elements. It builds a max heap to find the largest element quickly, then swaps it to the end and rebuilds the heap until sorted.
Click to reveal answer
beginner
What is a max heap?
A max heap is a binary tree where each parent node is greater than or equal to its children. This means the largest value is always at the root.
Click to reveal answer
intermediate
Why do we rebuild the heap after swapping the root with the last element in Heap Sort?
After swapping, the heap property might break. Rebuilding (heapifying) fixes the heap so the largest element moves to the root again for the next swap.
Click to reveal answer
intermediate
What is the time complexity of Heap Sort?
Heap Sort runs in O(n log n) time because building the heap takes O(n) and each of the n removals takes O(log n) to restore the heap.
Click to reveal answer
advanced
How does Heap Sort differ from other sorting algorithms like Quick Sort or Merge Sort?
Heap Sort uses a heap data structure and sorts in place without extra memory. Quick Sort is faster on average but not stable. Merge Sort is stable but uses extra space.
Click to reveal answer
What data structure does Heap Sort use to organize elements?
✗ Incorrect
Heap Sort uses a heap, a special binary tree structure, to organize elements for sorting.
In a max heap, where is the largest element located?
✗ Incorrect
The largest element in a max heap is always at the root node.
What is the main step after swapping the root with the last element in Heap Sort?
✗ Incorrect
After swapping, heapify is done to restore the heap property starting from the root.
What is the average time complexity of Heap Sort?
✗ Incorrect
Heap Sort runs in O(n log n) time on average and in the worst case.
Which of these is true about Heap Sort?
✗ Incorrect
Heap Sort sorts in place and does not require extra memory, unlike Merge Sort.
Explain how Heap Sort uses a max heap to sort an array step-by-step.
Think about how the largest element moves to the end each time.
You got /5 concepts.
Describe the difference between a max heap and a min heap and why Heap Sort uses a max heap.
Focus on the root element's value in each heap type.
You got /4 concepts.