Linear Search and Hash Tables Explained

Linear Search and Hash Tables Explained
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Learn about the concepts of linear search and hash tables in computer science. Dive into understanding how linear search finds elements in a list sequentially and how hash tables optimize data retrieval by mapping keys to values efficiently. Explore different search algorithms and their applications through practical examples and visual explanations.

  • Linear Search
  • Hash Tables
  • Search Algorithms
  • Data Structures
  • Computer Science

Uploaded on Apr 13, 2025 | 0 Views


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  1. Topic 9 Linear Search and Hash Tables

  2. Announcements Participation due tomorrow FunSort explanation posted

  3. FunSort FunSort(list, low, high) returns list if (low < high) then FunSort(list, low, high-1) if list[high-1] > list[high] then swap list[high-1] and list[high] FunSort(list, low, high-1) end if end if end FunSort

  4. FunSort TL;DR 5 4 3 2 1 3 4 5 2 1

  5. More on Homework 4 Program arguments public static void main(String[] args) { for (int i = 0; i < args.length; i++) System.out.println(args[0]); } bash$ java cs345_prog1 hello world hello world Images

  6. Searching Definition:

  7. Searching Unsorted Array

  8. Jump Search

  9. Binary Search

  10. Interpolation/Phonebook Search 0 8946 9999

  11. N Log(n) Log(log(n))

  12. Hash Tables Definition:

  13. Division Method

  14. Multiplication Method

  15. MAD (Multiply, Add, and Divide)

  16. Considerations

  17. Collisions

  18. Chaining

  19. Open Addressing

  20. Linear Probing

  21. Quadratic Probing

  22. Double Hashing

  23. Deletion Chaining

  24. Open Addressing

  25. Runtime Analysis

  26. Perfect Hashing

  27. Universal Hash Function

  28. Bloom Filters

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