E-Pathsala Lecture Videos – Design and Analysis of Algorithms
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Basics of Algorithm
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Fundamental Stages of Problem Solving
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Basics of Algorithm Writing
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Analysis of Iterative Algoirthms
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Rate of Growth and Asymptotic Analysis
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Brute Force Technique
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Closest Pair and Convex Hull
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Exhaustive Searching and Optimization Problems
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Divide and Conquer Methods
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Multiplicaton of long integers and strassen Matrix Multiplication
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Closest pair and Convex Hull problems using Divide and Conquer
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Applications of Divide and Conquer
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Decrease and Conquer Design Paradigm
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More Decrease and Conquer Algorithms
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Transform and Conquer Paradigm
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More Transform and Conquer Problems
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ore Transform and Conquer Problems Part II
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More Greedy Algorithms
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Minimum Spanning Tree
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Optimal Merge and Shortest Path Algorithm
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Transitive Closure and Shortest Path Algorithms
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Longest Common Subsequence and String Edit
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Optimal Binary Search Tree
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Computational Complexities
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Overview of NP Complete
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Reduction and NP Complete Proof
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Randomized Algorithms
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Randomized Algorithms
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Approximation Algorithms
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More Approximation Algorithms
Anna Edusat Lectures
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