Heaps and Tries in Computer Science

Delve into the concepts of heaps and tries, which are crucial data structures in computer science. Learn about priority queues, heap properties, representation, implementation, operations such as insertion and deletion, calculating parent/child relationships, and building heaps. This topic covers essential aspects of managing data efficiently in algorithms.

• Data Structures
• Computer Science
• Heaps
• Tries
• Priority Queues

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Uploaded on Sep 10, 2024 | 0 Views

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Presentation Transcript

1. Topic 11 Heaps and Tries

2. Announcements Grading Homework 3 to be graded by today Homework 4 to be graded tomorrow/Thursday Homework 5 solutions will be up today Test in 1.5 weeks Online students: make sure you can take the test on Thursday/Friday. Participation Schedule

3. Homework 5 solutions

6. Heaps Priority Queues Definition:

7. Heap Property

8. Representation/Implementation

9. Array attributes

10. Example representation

11. Calculating Parent/Child

12. Heap Operations: Insertion

15. Pseudocode

16. Heap Operations: delete-max/min

19. Heap Operations: build-heap

22. Example

25. Pseudocode

26. Heap Sort

27. Basic Idea

28. Pseudocode

29. Example

30. Stability

31. Tries

32. Definition Definition:

33. Adding fixed-length keys

40. Alphabet Trie (alphabet from English alphabet)

44. Analysis (compressed tries) Search Insertion # nodes

45. Uses Sort? Search?

46. Searching for Suffixes

47. Example