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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1.2 Characteristics of Algorithm
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1.2 Characteristics of Algorithm
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7 Branch and Bound Introduction
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7 Branch and Bound Introduction
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2 Divide And Conquer
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2 Divide And Conquer
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2.8.1 QuickSort Algorithm
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3.6 Dijkstra Algorithm - Single Source Shortest Path - Greedy Method
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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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1.8.1 Asymptotic Notations Big Oh - Omega - Theta #1
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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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1.12 Disjoint Sets Data Structure - Weighted Union and Collapsing Find
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8. NP-Hard and NP-Complete Problems
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2.4.1 Masters Theorem in Algorithms for Dividing Function #1
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4.5 0/1 Knapsack - Two Methods - Dynamic Programming
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2.6.1 Binary Search Iterative Method
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6.1 N Queens Problem using Backtracking
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4.1 MultiStage Graph - Dynamic Programming
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1.11 Best Worst and Average Case Analysis
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2.6.2 Binary Search Recursive Method
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3.3 Optimal Merge Pattern - Greedy Method
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