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MIT 6.046J Design and Analysis of Algorithms, Spring 2015
1. Course Overview, Interval Scheduling
4. Divide & Conquer: van Emde Boas Trees
21. Cryptography: Hash Functions
R9. Approximation Algorithms: Traveling Salesman Problem
12. Greedy Algorithms: Minimum Spanning Tree
3. Divide & Conquer: FFT
R11. Cryptography: More Primitives
22. Cryptography: Encryption
20. Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees
R7. Network Flow and Matching
R4. Randomized Select and Randomized Quicksort
6. Randomization: Matrix Multiply, Quicksort
9. Augmentation: Range Trees
8. Randomization: Universal & Perfect Hashing
R1. Matrix Multiplication and the Master Theorem
11. Dynamic Programming: All-Pairs Shortest Paths
R8. NP-Complete Problems
17. Complexity: Approximation Algorithms
19. Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees
R5. Dynamic Programming
5. Amortization: Amortized Analysis
18. Complexity: Fixed-Parameter Algorithms
16. Complexity: P, NP, NP-completeness, Reductions
23. Cache-Oblivious Algorithms: Medians & Matrices
