1. Algorithms and Computation
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1. Algorithms and Computation
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Problem Session 2 (MIT 6.006 Introduction to Algorithms, Spring 2020)
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Lecture 1: Algorithmic Thinking, Peak Finding
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Introduction to Algorithms - Problem Session 1: Asymptotic Behavior of Functions and Double-ended...
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Introduction to Algorithms - Problem Session 1: Asymptotic Behavior o…
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2. Data Structures and Dynamic Arrays
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2. Data Structures and Dynamic Arrays
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3. Sets and Sorting
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3. Sets and Sorting
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Lecture 19: Dynamic Programming I: Fibonacci, Shortest Paths
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Lecture 19: Dynamic Programming I: Fibonacci, Shortest Paths
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15. Dynamic Programming, Part 1: SRTBOT, Fib, DAGs, Bowling
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Lecture 2: Models of Computation, Document Distance
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21. Algorithms—Next Steps
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9. Breadth-First Search
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19. Complexity
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10. Depth-First Search
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Lecture 6: AVL Trees, AVL Sort
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Lecture 3: Insertion Sort, Merge Sort
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5. Linear Sorting
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Lecture 15: Single-Source Shortest Paths Problem
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Problem Session 4
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18. Dynamic Programming, Part 4: Rods, Subset Sum, Pseudopolyno…
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Recitation 1: Asymptotic Complexity, Peak Finding
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4. Hashing
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Lecture 8: Hashing with Chaining
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6. Binary Trees, Part 1
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Lecture 14: Depth-First Search (DFS), Topological Sort
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Find in video from 10:09Sorted Arrays and Their Limitations
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Find in video from 07:50Tetris and Its Limitations
Lecture 23: Computational Complexity
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Recitation 21: Dynamic Programming: Knapsack Problem
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Lecture 20: Dynamic Programming II: Text Justification, Blackjack
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20. Course Review
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