Learn · Introduction to Algorithms

Lecture 25 of 32Lecture Videos

Problem Session 8

Prof. Erik Demaine, Dr. Jason Ku and Prof. Justin Solomon · Massachusetts Institute of Technology

At MIT OpenCourseWare

Credits and licence

From
Introduction to Algorithms, Massachusetts Institute of Technology (at MIT OpenCourseWare)
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
Attribution
Prof. Erik Demaine, Dr. Jason Ku, Prof. Justin Solomon. Introduction to Algorithms. Spring 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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All the lectures

  1. Lecture 1: Algorithms and Computation 46 min · Video
  2. Lecture 2: Data Structures and Dynamic Arrays 51 min · Video
  3. Problem Session 1 1 h 27 min · Video
  4. Lecture 3: Sets and Sorting 53 min · Video
  5. Lecture 4: Hashing 53 min · Video
  6. Problem Session 2 1 h 28 min · Video
  7. Lecture 5: Linear Sorting 52 min · Video
  8. Problem Session 3 1 h 27 min · Video
  9. Lecture 6: Binary Trees, Part 1 51 min · Video
  10. Lecture 7: Binary Trees, Part 2: AVL 55 min · Video
  11. Problem Session 4 1 h 30 min · Video
  12. Lecture 8: Binary Heaps 51 min · Video
  13. Lecture 9: Breadth-First Search 53 min · Video
  14. Quiz 1 Review 1 h 26 min · Video
  15. Lecture 10: Depth-First Search 53 min · Video
  16. Lecture 11: Weighted Shortest Paths 58 min · Video
  17. Problem Session 5 1 h 29 min · Video
  18. Lecture 12: Bellman-Ford 58 min · Video
  19. Lecture 13: Dijkstra 58 min · Video
  20. Problem Session 7 Video
  21. Lecture 14: APSP and Johnson 57 min · Video
  22. Quiz 2 Review 1 h 23 min · Video
  23. Lecture 15: Dynamic Programming, Part 1: SRTBOT, Fib, DAGs, Bowling 58 min · Video
  24. Lecture 16: Dynamic Programming, Part 2: LCS, LIS, Coins 59 min · Video
  25. Problem Session 8 Video
  26. Lecture 17: Dynamic Programming, Part 3: APSP, Parens, Piano 1 h 4 min · Video
  27. Lecture 18: Dynamic Programming, Part 4: Rods, Subset Sum, Pseudopolynomial 1 h 4 min · Video
  28. Lecture 19: Complexity 1 h · Video
  29. Problem Session 9 Video
  30. Quiz 3 Review 1 h 24 min · Video
  31. Lecture 20: Course Review 56 min · Video
  32. Lecture 21: Algorithms—Next Steps 1 h · Video