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Lecture 01: Administrivia/Introduction/Analysis of Algorithms, Insertion Sort, Mergesort
Lecture 02: Asymptotic Notation/Recurrences/Substitution, Master Method
Lecture 03: Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication
Lecture 04: Quicksort, Randomized Algorithms
Lecture 05: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort
Lecture 07: Hashing, Hash Functions
Lecture 15: Dynamic Programming, Longest Common Subsequence
Lecture 16: Greedy Algorithms, Minimum Spanning Trees
Lecture 06: Order Statistics, Median
Lecture 12: Skip lists
Lecture 10: Red-black Trees, Rotations, Insertions, Deletions
Lecture 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search
Lecture 09: Relation of BSTs to Quicksort/Analysis of Random BST
Lecture 08: Universal Hashing, Perfect Hashing
Lecture 14: Competitive Analysis: Self-organizing Lists
Lecture 25: Advanced Topics (cont.)/Discussion of Follow-on Classes
Lecture 22: Advanced Topics
Lecture 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees
Lecture 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints
Lecture 23: Advanced Topics (cont.)
Lecture 13: Amortized Algorithms, Table Doubling, Potential Method
Lecture 19: Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall, Johnson
Lecture 24: Advanced Topics (cont.)
Lecture 2: Bit Hacks
Lecture 16: Synchronizing without Locks
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