Heap Sort Algorithm
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Heap Sort Algorithm

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@UndamagedObsidian

Questions and Answers

What data structure is Heap Sort based on?

  • Binary Heap (correct)
  • Binary Search Tree
  • Array
  • Linked List
  • How is the sorted array obtained in Heap Sort?

  • By reversing the order of elements in the input array (correct)
  • By randomly shuffling all elements
  • By swapping every second element with the next element
  • By selecting the maximum element and placing it at the beginning
  • What is the time complexity of Heap Sort?

  • $O(n)$
  • $O( ext{log} n)$
  • $O(n ext{ log } n)$ (correct)
  • $O(n^2)$
  • What step follows after converting the array into a heap data structure in Heap Sort?

    <p>Delete the root node</p> Signup and view all the answers

    Why is Heap Sort considered efficient for sorting large datasets?

    <p>Because it maintains good performance even with a large number of elements due to its time complexity</p> Signup and view all the answers

    Heap Sort is a comparison-based sorting technique based on Binary Tree data structure.

    <p>False</p> Signup and view all the answers

    In Heap Sort, the root node of the Max-heap is replaced with the minimum element in each iteration.

    <p>False</p> Signup and view all the answers

    The time complexity of Heap Sort is O(n^2) in all cases.

    <p>False</p> Signup and view all the answers

    Heap Sort maintains good performance with a large number of elements due to the height of the binary heap being factored in.

    <p>True</p> Signup and view all the answers

    The sorted array obtained from Heap Sort is in the same order as the input array.

    <p>False</p> Signup and view all the answers

    Study Notes

    Heap Sort Algorithm

    • Heap sort is a comparison-based sorting technique based on Binary Heap data structure.
    • It is similar to selection sort, where we find the minimum element and place it at the beginning, repeating the process for remaining elements.

    Steps in Heap Sort Algorithm

    • Convert the array into a heap data structure using heapify.
    • Delete the root node of the Max-heap and replace it with the last node in the heap.
    • Heapify the root of the heap.
    • Repeat the process until the size of the heap is greater than 1.

    Advantages of Heap Sort

    • Heap sort has a time complexity of O(n log n) in all cases.
    • This makes it efficient for sorting large datasets.
    • The log n factor comes from the height of the binary heap, ensuring good performance with a large number of elements.

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    Description

    Learn about heap sort, a comparison-based sorting technique based on the Binary Heap data structure. Understand the process of converting an array into a heap data structure using heapify and then sorting the elements by deleting the root node of the Max-heap.

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