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Algorithms: Design and Analysis Part 2

Stanford University online course

Lectures

  1. Two Motivating Applications
  2. Introduction to Greedy Algorithms
  3. A Scheduling Application
  4. Prims Minimum Spanning Tree Algorithm
  5. Kruskals Minimum Spanning Tree Algorithm
  6. Clustering
  7. Advanced Union Find
  8. Huffman Codes
  9. Introduction to Dynamic Programming
  10. The Knapsack Problem
  11. Sequence Alignment
  12. Optimal Binary Search Trees
  13. The Bellman-Ford Algorithm
  14. All Pairs Shortest Paths
  15. NP-Complete Problems
  16. Faster Exact Algorithms for NP-Complete Problems
  17. Approximations Algorithms for NP-Complete Problems
  18. Local Search
  19. The Wider World of Algorithms

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