1. Introduction to Algorithms
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Find in video from 0:00Introduction to Algorithms
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4.5 0/1 Knapsack - Two Methods - Dynamic Programming
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1.5.1 Time Complexity #1
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2.4.1 Masters Theorem in Algorithms for Dividing Function #1
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4.2 All Pairs Shortest Path (Floyd-Warshall) - Dynamic Programming
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1.4 Frequency Count Method
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4.4 Bellman Ford Algorithm - Single Source Shortest Path - Dynamic Programming
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Find in video from 01:43Algorithm Overview
2.7.2. Merge Sort Algorithm
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10.1 AVL Tree - Insertion and Rotations
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2.6.1 Binary Search Iterative Method
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4.3 Matrix Chain Multiplication - Dynamic Programming
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6 Introduction to Backtracking - Brute Force Approach
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2 Divide And Conquer
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2.8.1 QuickSort Algorithm
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Find in video from 0:00Introduction to KMP Algorithm
9.1 Knuth-Morris-Pratt KMP String Matching Algorithm
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1.3 How Write and Analyze Algorithm
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9.2 Rabin-Karp String Matching Algorithm
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4 Principle of Optimality - Dynamic Programming introduction
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4.1 MultiStage Graph - Dynamic Programming
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3. Greedy Method - Introduction
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10.2 B Trees and B+ Trees. How they are useful in Databases
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8. NP-Hard and NP-Complete Problems
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6.1 N Queens Problem using Backtracking
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6.2 Sum Of Subsets Problem - Backtracking
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1.11 Best Worst and Average Case Analysis
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