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630k

PT13M18S

4. Why public static void main(String args[ ]) ? JAVA

Abdul BariMar 26, 2018

103k

PT17M

4.5.1 0/1 Knapsack Problem (Program) - Dynamic Programming

Abdul BariMar 4, 2018

705k

PT10M48S

7.2 0/1 Knapsack using Branch and Bound

Abdul BariFeb 26, 2018

1.5m

PT15M52S

6.3 Graph Coloring Problem - Backtracking

Abdul BariFeb 26, 2018

1.5m

PT12M19S

6.2 Sum Of Subsets Problem - Backtracking

Abdul BariFeb 24, 2018

1.8m

PT13M41S

6.1 N Queens Problem using Backtracking

Abdul BariFeb 24, 2018

2.6m

PT21M7S

4.1 MultiStage Graph - Dynamic Programming

Abdul BariFeb 16, 2018

1.2m

PT14M52S

4 Principle of Optimality - Dynamic Programming introduction

Abdul BariFeb 16, 2018

1.5m

PT13M29S

3.2 Job Sequencing with Deadlines - Greedy Method

Abdul BariFeb 7, 2018

1.8m

PT12M2S

3. Greedy Method - Introduction

Abdul BariFeb 6, 2018

1.8m

PT13M43S

2.8.1 QuickSort Algorithm

Abdul BariFeb 2, 2018

3.7m

PT7M4S

2 Divide And Conquer

Abdul BariJan 22, 2018

1.3m

Hashing Technique - Simplified

Abdul BariNov 23, 2015

Featured Results

4.2 All Pairs Shortest Path (Floyd-Warshall) - Dynamic Programming

10.2 B Trees and B+ Trees. How they are useful in Databases

9.1 Knuth-Morris-Pratt KMP String Matching Algorithm

9.2 Rabin-Karp String Matching Algorithm

3.1 Knapsack Problem - Greedy Method

8. NP-Hard and NP-Complete Problems

4.9 Longest Common Subsequence (LCS) - Recursion and Dynamic Programming

3.4 Huffman Coding - Greedy Method

8.1 NP-Hard Graph Problem - Clique Decision Problem

4.8 Reliability Design - Dynamic Programming

4.3 Matrix Chain Multiplication - Dynamic Programming

4.7 [New] Traveling Salesman Problem - Dynamic Programming using Formula

4. Why public static void main(String args[ ]) ? JAVA

4.5.1 0/1 Knapsack Problem (Program) - Dynamic Programming

7.2 0/1 Knapsack using Branch and Bound

6.3 Graph Coloring Problem - Backtracking

6.2 Sum Of Subsets Problem - Backtracking

6.1 N Queens Problem using Backtracking

4.1 MultiStage Graph - Dynamic Programming

4 Principle of Optimality - Dynamic Programming introduction

3.2 Job Sequencing with Deadlines - Greedy Method

3. Greedy Method - Introduction

2.8.1 QuickSort Algorithm

2 Divide And Conquer

Hashing Technique - Simplified

Featured Results

4.2 All Pairs Shortest Path (Floyd-Warshall) - Dynamic Programming

10.2 B Trees and B+ Trees. How they are useful in Databases

9.1 Knuth-Morris-Pratt KMP String Matching Algorithm

9.2 Rabin-Karp String Matching Algorithm

3.1 Knapsack Problem - Greedy Method

8. NP-Hard and NP-Complete Problems

4.9 Longest Common Subsequence (LCS) - Recursion and Dynamic Programming

3.4 Huffman Coding - Greedy Method

8.1 NP-Hard Graph Problem - Clique Decision Problem

4.8 Reliability Design - Dynamic Programming

4.3 Matrix Chain Multiplication - Dynamic Programming

4.7 [New] Traveling Salesman Problem - Dynamic Programming using Formula

4. Why public static void main(String args[ ]) ? JAVA

4.5.1 0/1 Knapsack Problem (Program) - Dynamic Programming

7.2 0/1 Knapsack using Branch and Bound

6.3 Graph Coloring Problem - Backtracking

6.2 Sum Of Subsets Problem - Backtracking

6.1 N Queens Problem using Backtracking

4.1 MultiStage Graph - Dynamic Programming

4 Principle of Optimality - Dynamic Programming introduction

3.2 Job Sequencing with Deadlines - Greedy Method

3. Greedy Method - Introduction

2.8.1 QuickSort Algorithm

2 Divide And Conquer

Hashing Technique - Simplified

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