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Introduction to Dynamic Programming
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Classroom Contents
Data Structure and Algorithms in Java
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- 1 Introduction
- 2 Agenda
- 3 Introduction to Data Structure
- 4 Types of Data Structure
- 5 Arrays Introduction
- 6 Arrays Implementation
- 7 Advantages and Disadvantages of Arrays
- 8 Stack introduction
- 9 Stack implementation
- 10 Advantages and Disadvantages of Stack
- 11 Queue introduction
- 12 Queue implementation
- 13 Advantages and Disadvantages of Queue
- 14 Linked list introduction
- 15 Linked list types
- 16 Linked List implementation
- 17 Circular Linked list implementation
- 18 Advantages and Disadvantages of Linked List
- 19 Binary tree introduction
- 20 Binary tree implementation
- 21 Advantages and Disadvantages of Binary Tree
- 22 Binary search tree introduction
- 23 Binary search tree implementation
- 24 Advantages and Disadvantages of Binary search Tree
- 25 Graphs introduction
- 26 Breadth first search implementation
- 27 Depth first search implementation
- 28 Hash tables introduction
- 29 Hashing implementation
- 30 Algorithms introduction and algorithmic analysis
- 31 Finding space and time complexity
- 32 Linear Search
- 33 Linear search implementation
- 34 Complexity analysis of Linear Search
- 35 Binary Search
- 36 Bnary search implementation
- 37 Complexity analysis of Binary Search
- 38 Insertion sort
- 39 Insertion sort implementation
- 40 Complexity analysis of Insertion sort
- 41 Selection sort
- 42 Selection sort implementation
- 43 Complexity analysis of Selection sort
- 44 Quick sort
- 45 Quick sort implementation
- 46 Complexity analysis of Quick sort
- 47 Introduction to Divide and Conquor approach
- 48 Merge sort
- 49 merge sort implementation
- 50 Introduction to Greedy's approach
- 51 Prim's minimal Spanning Tree algorithm
- 52 Prim's minimal Spanning Tree algorithm implementation
- 53 Introduction to Dynamic Programming
- 54 Tower of Hanoi
- 55 Tower of Hanoi implementation
- 56 Summary
