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Mastering Divide-and-Conquer Strategy in Algorithms

Learn how to apply Divide-and-Conquer method to solve complex problems by breaking them down into smaller tasks recursively and combining the solutions effectively. Explore practical examples like Merge Sort, Quick Sort, and Heapsort. Key Point: Understand Analysis and use of Master Theorem.

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Mastering Divide-and-Conquer Strategy in Algorithms

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  1. Lecture 4Divide-and-Conquer

  2. What’s Self-Reducibility? • A problem can be reduced to several “same” problems with smaller inputs.

  3. Divide and Conquer • Divide the problem into subproblems. • Conquer the subproblems by solving them recursively. • Combine the solutions to subproblems into the solution for original problem.

  4. Tree Structure problem subproblem subproblem subsubproblem subsubproblem subsubproblem subsubproblem

  5. Insertion Sort

  6. key

  7. Merge Sort

  8. Procedure divide conquer combine

  9. Heapsort 16 14 10 3 9 8 7 2 4 1

  10. Heapsort

  11. Heapsort

  12. Quicksort divide conquer combine is simplified

  13. Selection with O(n) Comparisons divide conquer divide conquer

  14. Remark on Divide and Conquer Key Point:

  15. Merge Sort Quick Sort Selection Analysis requires to solve a recurrence!

  16. Maximum Subarray

  17. Problem

  18. Closest pair of points

  19. Matrix Multiplication

  20. n/2 Step 1 n/2

  21. Step 2 Step 3

  22. Step 4

  23. Master Theorem

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