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DSA Goprogramming~5 mins

Heap Sort Algorithm in DSA Go - Cheat Sheet & Quick Revision

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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 repeatedly extract the largest element and place it at the end of the list, sorting the array in-place.
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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 property helps quickly find the largest element at the root.
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intermediate
Why does Heap Sort have O(n log n) time complexity?
Building the heap takes O(n) time, and each of the n elements is extracted with a heapify operation that takes O(log n), resulting in O(n log n) overall.
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intermediate
What is the role of the heapify function in Heap Sort?
Heapify ensures the heap property is maintained by fixing the subtree rooted at a given index, making sure the parent node is larger than its children.
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intermediate
Is Heap Sort a stable sorting algorithm? Why or why not?
Heap Sort is not stable because it can change the relative order of equal elements during the heapify and extraction steps.
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What data structure does Heap Sort primarily use?
AQueue
BLinked List
CHeap
DStack
In a max-heap, where is the largest element located?
AAt the leaves
BAt the root
CIn the middle
DAt the last node
What is the time complexity of Heap Sort in the average case?
AO(n log n)
BO(n^2)
CO(log n)
DO(n)
Which step is NOT part of Heap Sort?
ABuilding a max-heap
BExtracting the max element
CHeapifying the remaining elements
DMerging sorted subarrays
Is Heap Sort an in-place sorting algorithm?
AYes
BNo
COnly for small arrays
DDepends on the implementation
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 heapify process and why it is important in Heap Sort.
    Heapify keeps the tree organized after changes.
    You got /5 concepts.