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Abdul Bari

Algorithms

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84 items
Last updated on Jul 11, 2019
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1. Introduction to Algorithms
11:49
1.1 Priori Analysis and Posteriori Testing
1:48
1.2 Characteristics of Algorithm
5:37
1.3 How Write and Analyze Algorithm
10:37
1.4 Frequency Count Method
12:22
1.5.1 Time Complexity #1
10:08
1.5.2 Time Complexity Example #2
14:13
1.5.3 Time Complexity of While and if #3
21:54
1.6 Classes of functions
3:10
1.7 Compare Class of Functions
5:11
1.8.1 Asymptotic Notations Big Oh - Omega - Theta #1
15:46
1.8.2 Asymptotic Notations - Big Oh - Omega - Theta #2
10:07
1.9 Properties of Asymptotic Notations
11:58
1.10.1 Comparison of Functions #1
9:28
1.10.2 Comparison of Functions #2
10:26
1.11 Best Worst and Average Case Analysis
18:56
1.12 Disjoint Sets Data Structure - Weighted Union and Collapsing Find
26:04
2 Divide And Conquer
7:04
2.1.1 Recurrence Relation (T(n)= T(n-1) + 1) #1
13:48
2.1.2 Recurrence Relation (T(n)= T(n-1) + n) #2
16:00
2.1.3 Recurrence Relation (T(n)= T(n-1) + log n) #3
12:25
2.1.4 Recurrence Relation T(n)=2 T(n-1)+1  #4
10:42
2.2 Masters Theorem Decreasing Function
8:10
2.3.1 Recurrence Relation Dividing Function T(n)=T(n/2)+1 #1
8:41
2.3.2 Recurrence Relation Dividing [ T(n)=T(n/2)+ n].   #2
7:26
2.3.3 Recurrence Relation [ T(n)= 2T(n/2) +n]  #3
11:20
2.4.1 Masters Theorem in Algorithms for Dividing Function #1
16:50
2.4.2 Examples for Master Theorem #2
5:41
2.5 Root function (Recurrence Relation)
5:37
2.6.1 Binary Search Iterative Method
19:36
2.6.2 Binary Search Recursive Method
7:11
2.6.3 Heap - Heap Sort - Heapify - Priority Queues
51:08
2.7.1  Two Way MergeSort - Iterative method
20:19
2.7.2.  Merge Sort Algorithm
24:07
2.7.3 MergeSort in-depth Analysis
13:28
2.8.1  QuickSort Algorithm
13:43
2.8.2 QuickSort Analysis
11:37
2.9 Strassens Matrix Multiplication
23:40
3. Greedy Method -  Introduction
12:02
3.1 Knapsack Problem - Greedy Method
15:30
3.2 Job Sequencing with Deadlines - Greedy Method
13:29
3.3 Optimal Merge Pattern - Greedy Method
9:33
3.4 Huffman Coding - Greedy Method
17:44
3.5 Prims and Kruskals Algorithms - Greedy Method
20:12
3.6 Dijkstra Algorithm - Single Source Shortest Path - Greedy Method
18:35
4 Principle  of Optimality  - Dynamic Programming introduction
14:52
4.1 MultiStage Graph - Dynamic Programming
21:07
4.1.1 MultiStage Graph (Program) - Dynamic Programming
14:26
4.2 All Pairs Shortest Path (Floyd-Warshall) - Dynamic Programming
14:13
4.3 Matrix Chain Multiplication - Dynamic Programming
23:00
[New] Matrix Chain Multiplication using Dynamic Programming Formula
52:02
4.3.1 Matrix Chain Multiplication (Program) - Dynamic Programming
18:40
4.4 Bellman Ford Algorithm - Single Source Shortest Path - Dynamic Programming
17:12
4.5 0/1 Knapsack - Two Methods - Dynamic Programming
28:24
4.5.1 0/1 Knapsack Problem (Program) - Dynamic Programming
17:00
4.6 Optimal Binary Search Tree (Successful Search Only) - Dynamic Programming
30:19
4.6.2 [New] Optimal Binary Search Tree Successful and Unsuccessful Probability - Dynamic Programming
57:00
4.7 [New] Traveling Salesman Problem - Dynamic Programming using Formula
17:18
4.8 Reliability Design - Dynamic Programming
26:32
4.9 Longest Common Subsequence (LCS)  - Recursion and Dynamic Programming
23:35
5.1 Graph Traversals - BFS & DFS -Breadth First Search and Depth First Search
18:31
5.2 Articulation Point and Biconnected Components
8:37
6 Introduction to Backtracking - Brute Force Approach
8:15
6.1 N Queens Problem using Backtracking
13:41
6.2 Sum Of Subsets Problem - Backtracking
12:19
6.3 Graph Coloring Problem - Backtracking
15:52
6.4 Hamiltonian Cycle - Backtracking
18:35
7 Branch and Bound Introduction
9:40
7.1 Job Sequencing with Deadline - Branch and Bound
10:56
7.2 0/1 Knapsack using Branch and Bound
10:48
7.3 Traveling Salesman Problem - Branch and Bound
24:42
8. NP-Hard and NP-Complete Problems
31:53
8.1 NP-Hard Graph Problem - Clique Decision Problem
17:14
9.1 Knuth-Morris-Pratt KMP String Matching Algorithm
18:56
9.2 Rabin-Karp String Matching Algorithm
23:50
10.1 AVL Tree - Insertion and Rotations
43:08
10.2  B Trees and B+ Trees. How they are useful in Databases
39:41
Asymptotic Notations - Simplified
22:44
Hashing Technique - Simplified
17:04
Shortest Path Algorithms (Dijkstra and Bellman-Ford)  - Simplified
26:13
BFS DFS - Simplified
19:13
Tower of Hanoi Problem - Made Easy
9:32
Row-Major and Column-Major Mapping
19:16
Merge Sort Algorithm - Hindi
16:38