1 / 25

Heap Sort Algorithm | Heap Sort In Data Structure | Heap Sort With Example | Sim

This presentation is based on the Heapsort Algorithm. This heap sort in data structures tutorial makes sure that the heap sort algorithm is explained well and will help beginners understand the basics of heap sort with examples. The video also covers practical demo for a better learning experience.<br> <br>Learn more: https://www.simplilearn.com/data-structures-and-algorithms-article

Simplilearn
Download Presentation

Heap Sort Algorithm | Heap Sort In Data Structure | Heap Sort With Example | Sim

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Heap Sort

  2. Agenda Heap Sort

  3. Agenda Heap Sort

  4. Heap Sort Click here to watch the video

  5. Agenda Heap Sort What is Binary Heap

  6. Agenda Heap Sort What is Binary Heap Implementation

  7. Agenda Heap Sort What is Binary Heap Implementation Application

  8. Agenda Heap Sort What is Binary Heap Conclusion Implementation Application

  9. What is a Binary Heap

  10. What is a Binary Heap? It's a complete binary tree with all levels entirely filled except maybe the last, which has all keys as far to the left as possible. A Binary Heap is either Min Heap or Max Heap. In a Min Binary Heap, the key at root must be minimum among all keys present in Binary Heap. Max Binary Heap is like Min Heap.

  11. What is a Binary Heap? It's a complete binary tree with all levels entirely filled except maybe the last, which has all keys as far to the left as possible. A Binary Heap is either Min Heap or Max Heap. In a Min Binary Heap, the key at root must be minimum among all keys present in Binary Heap. Max Binary Heap is like Min Heap.

  12. What is a Binary Heap? It's a complete binary tree with all levels entirely filled except maybe the last, which has all keys as far to the left as possible. A Binary Heap is either Min Heap or Max Heap. In a Min Binary Heap, the key at root must be minimum among all keys present in Binary Heap. Max Binary Heap is like Min Heap.

  13. Implementation

  14. Implementation Build max heap

  15. Implementation Remove root and put it at end position And last element at vacant place.

  16. Implementation Reduce size by 1

  17. Implementation Heapify the root element again and repeat the same process again.

  18. Application

  19. Application Sort a nearly sorted array K largest or smallest element in an array

  20. Application Sort a nearly sorted array K largest or smallest element in an array

  21. Application Sort a nearly sorted array K largest or smallest element in an array

  22. Conclusion

  23. Conclusion Time complexity of heap sort is O(n log(n). Heap sort is good at finding largest element in a heap. There is no additional memory space requirement. Heap sort is based on priority queues.

More Related