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Lecture 01: Administrivia/Introduction/Analysis of Algorithms, Insertion Sort, Mergesort
Lecture 01: Administrivia/Introduction/Analysis of Algorithms, Insertion Sort, Mergesort
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Lecture 02: Asymptotic Notation/Recurrences/Substitution, Master Method
Lecture 02: Asymptotic Notation/Recurrences/Substitution, Master Method
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Lecture 03: Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication
Lecture 03: Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication
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Lecture 04: Quicksort, Randomized Algorithms
Lecture 04: Quicksort, Randomized Algorithms
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Lecture 05: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort
Lecture 05: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort
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Lecture 06: Order Statistics, Median
Lecture 06: Order Statistics, Median
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Lecture 07: Hashing, Hash Functions
Lecture 07: Hashing, Hash Functions
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Lecture 08: Universal Hashing, Perfect Hashing
Lecture 08: Universal Hashing, Perfect Hashing
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Lecture 09: Relation of BSTs to Quicksort/Analysis of Random BST
Lecture 09: Relation of BSTs to Quicksort/Analysis of Random BST
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Lecture 10: Red-black Trees, Rotations, Insertions, Deletions
Lecture 10: Red-black Trees, Rotations, Insertions, Deletions
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Lecture 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees
Lecture 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees
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Lecture 12: Skip Lists
Lecture 12: Skip Lists
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Lecture 13: Amortized Algorithms, Table Doubling, Potential Method
Lecture 13: Amortized Algorithms, Table Doubling, Potential Method
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Lecture 14: Competitive Analysis: Self-organizing Lists
Lecture 14: Competitive Analysis: Self-organizing Lists
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Lecture 15: Dynamic Programming, Longest Common Subsequence
Lecture 15: Dynamic Programming, Longest Common Subsequence
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Lecture 16: Greedy Algorithms, Minimum Spanning Trees
Lecture 16: Greedy Algorithms, Minimum Spanning Trees
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