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Introduction to Algorithms
Design and Analysis of Algorithms
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Complexity Analysis
Time Complexity, Space Complexity, Asymptotic Notation
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Divide and Conquer Algorithms
Divide and Conquer Techniques, Binary Search, Max-Min Algorithm
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Dynamic Programming
Basic Concept of Dynamic Programming
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Matrix Chain Multiplication using Dynamic Programming
Determining Matrix Chain Multiplication using Dynamic Programming
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Finding Longest Common Subsequence using Dynamic Programming
Finding Longest Common Subsequence using Dynamic Programming
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Single Source Shortest Path: Bellman-Ford Algorithm
Single Source Shortest Path Problem
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All Pair Shortest Path: Floyd-Warshall Algorithm
All Pair Shortest Path: Floyd-Warshall Algorithm
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Greedy Algorithms
Basic Concept of Greedy Approach
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Fractional Knapsack using Greedy Approach
Fractional Knapsack Problem using Greedy Approach
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Single Source Shortest Path: Dijkstra's Algorithm
Single Source Shortest Path using Greedy Approach
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Minimal Spanning Tree using Prim's Algorithm
Minimal Spanning Tree using Greedy Approach
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Minimal Spanning Tree using Kruskal's Algorithm
Minimal Spanning Tree using Greedy Approach
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Basic Concept of Backtraking Approach
Basic Concept of Backtraking Approach
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Graph Coloring using Backtracking
Graph Coloring using Backtracking
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N-Queens Problem using Backtracking
N-Queens Problem using Backtracking
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Approximation Algorithm
Basic Concepts of Approximation Method
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