Index of /knowledgeBase/VideoSummaries/2025-05-30/Abdul Bari
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1.1 Priori Analysis and Posteriori Testing/
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1.2 Characteristics of Algorithm/
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1.3 How Write and Analyze Algorithm/
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1.4 Frequency Count Method/
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1.5.1 Time Complexity #1/
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1.5.2 Time Complexity Example #2/
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1.5.3 Time Complexity of While and if #3/
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1.6 Classes of functions/
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1.7 Compare Class of Functions/
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1.8.1 Asymptotic Notations Big Oh - Omega - Theta #1/
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1.8.2 Asymptotic Notations - Big Oh - Omega - Theta #2/
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1.9 Properties of Asymptotic Notations/
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1.10.1 Comparison of Functions #1/
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1.10.2 Comparison of Functions #2/
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1.11 Best Worst and Average Case Analysis/
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1.12 Disjoint Sets Data Structure - Weighted Union and Collapsing Find/
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1. Introduction to Algorithms/
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2.1.1 Recurrence Relation (T(n)= T(n-1) + 1) #1/
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2.1.2 Recurrence Relation (T(n)= T(n-1) + n) #2/
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2.1.3 Recurrence Relation (T(n)= T(n-1) + log n) #3/
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2.1.4 Recurrence Relation T(n)=2 T(n-1)+1 #4/
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2.2 Masters Theorem Decreasing Function/
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2.3.1 Recurrence Relation Dividing Function T(n)=T(n2)+1 #1/
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2.3.2 Recurrence Relation Dividing T(n)=T(n2)+ n. #2/
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2.3.3 Recurrence Relation T(n)= 2T(n2) +n #3/
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2.4.1 Masters Theorem in Algorithms for Dividing Function #1/
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2.4.2 Examples for Master Theorem #2/
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2.5 Root function (Recurrence Relation)/
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2.6.1 Binary Search Iterative Method/
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2.6.2 Binary Search Recursive Method/
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2.6.3 Heap - Heap Sort - Heapify - Priority Queues/
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2.7.1 Two Way MergeSort - Iterative method/
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2.7.2. Merge Sort Algorithm/
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2.7.3 MergeSort in-depth Analysis/
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2.8.1 QuickSort Algorithm/
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2.8.2 QuickSort Analysis/
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2.9 Strassens Matrix Multiplication/
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3.1 Knapsack Problem - Greedy Method/
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3.2 Job Sequencing with Deadlines - Greedy Method/
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3.3 Optimal Merge Pattern - Greedy Method/
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3.4 Huffman Coding - Greedy Method/
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3.5 Prims and Kruskals Algorithms - Greedy Method/
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3.6 Dijkstra Algorithm - Single Source Shortest Path - Greedy Method/
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3. Greedy Method - Introduction/
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4.1.1 MultiStage Graph (Program) - Dynamic Programming/
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4.1 MultiStage Graph - Dynamic Programming/
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4.2 All Pairs Shortest Path (Floyd-Warshall) - Dynamic Programming/
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4.3.1 Matrix Chain Multiplication (Program) - Dynamic Programming/
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4.3 Matrix Chain Multiplication - Dynamic Programming/
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4.4 Bellman Ford Algorithm - Single Source Shortest Path - Dynamic Programming/
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4.5.1 01 Knapsack Problem (Program) - Dynamic Programming/
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4.5 01 Knapsack - Two Methods - Dynamic Programming/
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4.6.2 New Optimal Binary Search Tree Successful and Unsuccessful Probability - Dynamic Programming/
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4.6 Optimal Binary Search Tree (Successful Search Only) - Dynamic Programming/
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4.7 New Traveling Salesman Problem - Dynamic Programming using Formula/
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4.8 Reliability Design - Dynamic Programming/
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4.9 Longest Common Subsequence (LCS) - Recursion and Dynamic Programming/
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4 Principle of Optimality - Dynamic Programming introduction/
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5.2 Articulation Point and Biconnected Components/
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6.1 N Queens Problem using Backtracking/
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6.3 Graph Coloring Problem - Backtracking/
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6.4 Hamiltonian Cycle - Backtracking/
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6 Introduction to Backtracking - Brute Force Approach/
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7.2 01 Knapsack using Branch and Bound/
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7.3 Traveling Salesman Problem - Branch and Bound/
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7 Branch and Bound Introduction/
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8.1 NP-Hard Graph Problem - Clique Decision Problem/
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8. NP-Hard and NP-Complete Problems/
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9.1 Knuth-Morris-Pratt KMP String Matching Algorithm/
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9.2 Rabin-Karp String Matching Algorithm/
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10.1 AVL Tree - Insertion and Rotations/
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10.2 B Trees and B+ Trees. How they are useful in Databases/
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Asymptotic Notations - Simplified/
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BFS DFS - Simplified/
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Merge Sort Algorithm - Hindi/
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New Matrix Chain Multiplication using Dynamic Programming Formula/
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Row-Major and Column-Major Mapping/
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Shortest Path Algorithms (Dijkstra and Bellman-Ford) - Simplified/
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Tower of Hanoi Problem - Made Easy/
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