1. Introduction to Algorithms
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1. Introduction to Algorithms
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1.3 How Write and Analyze Algorithm
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1.3 How Write and Analyze Algorithm
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6 Introduction to Backtracking - Brute Force Approach
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6 Introduction to Backtracking - Brute Force Approach
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7 Branch and Bound Introduction
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7 Branch and Bound Introduction
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1.2 Characteristics of Algorithm
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1.2 Characteristics of Algorithm
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3.6 Dijkstra Algorithm - Single Source Shortest Path - Greedy Method
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3.6 Dijkstra Algorithm - Single Source Shortest Path - Greedy Method
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9.1 Knuth-Morris-Pratt KMP String Matching Algorithm
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9.1 Knuth-Morris-Pratt KMP String Matching Algorithm
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3. Greedy Method - Introduction
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2 Divide And Conquer
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31:53
8. NP-Hard and NP-Complete Problems
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4 Principle of Optimality - Dynamic Programming introduction
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4.4 Bellman Ford Algorithm - Single Source Shortest Path - Dynamic Prog…
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6.4 Hamiltonian Cycle - Backtracking
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2.6.1 Binary Search Iterative Method
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26:48
DDA Line Drawing Algorithm - Computer Graphics
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28:24
4.5 0/1 Knapsack - Two Methods - Dynamic Programming
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6.1 N Queens Problem using Backtracking
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2.4.1 Masters Theorem in Algorithms for Dividing Function #1
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2.6.2 Binary Search Recursive Method
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43:08
10.1 AVL Tree - Insertion and Rotations
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4.2 All Pairs Shortest Path (Floyd-Warshall) - Dynamic Programming
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4.1 MultiStage Graph - Dynamic Programming
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30:19
4.6 Optimal Binary Search Tree (Successful Search Only) - Dynamic …
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7.3 Traveling Salesman Problem - Branch and Bound
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1.11 Best Worst and Average Case Analysis
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2.1.1 Recurrence Relation (T(n)= T(n-1) + 1) #1
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4.9 Longest Common Subsequence (LCS) - Recursion and Dynamic Progr…
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3.1 Knapsack Problem - Greedy Method
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3.3 Optimal Merge Pattern - Greedy Method
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Shortest Path Algorithms (Dijkstra and Bellman-Ford) - Simplified
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