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Arrays in Data Structure

Programming

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1 1 Arrays in Data Structure | Declaration Initialization Memory representation

1 2 Array Operations Traversal Insertion | full explanation with C program | data structure

1 3 Array Operations | deletion from array | full explanation with code | data structure

1 4 Pointers and arrays | Data structure

1 5 Introduction to Two Dimensional 2D arrays | Implementation of 2D arrays |Memory representation

1 6 Pointers and 2 D Arrays | Two dimensional array | data structure

2 1 Introduction to linked list | Need of linked list | data structures

2 2 Types of linked list in data structures

2 3 Arrays vs Linked List | Data structures

2 4 Linked List implementation in C C | creation and display | data structures

2 5 Insert a node in Singly Linked List at beginning end specified position with code|data structure

2 6 Delete a node from linked list from beginning end specified position | Data Structure

2 7 Find length of linked list Iterative approach | data structures

2 8 Reverse a linked list Iterative method | data structure

2 9 Introduction to Doubly Linked List Data structures

2 10 Implementation of Doubly Linked List Data Structures

2 11 Insertion in Doubly Linked List beginning end specific position Data Structures

2 12 Deletion from doubly linked list from beginning end specific position | data structures

2 13 Reverse a doubly linked list | data structures

2 14 Circular linked list in data structure Creation and display

2 15 Implementation of Circular linked list | data structure

2 16 Circular linked list Insertion | data structure

2 17 Circular linked list deletion from beginning end given position | data structures

2 18 Reverse a circular linked list | data structure

2 19 Doubly Circular Linked List Creation and Display | Data Structures

2 20 Doubly Circular linked list Insertion | data structure

2 21 Doubly circular linked list Deletion | data structure

3 1 Stack in data structure | Introduction to stack | data structures

3 2 Implementation of stack using Array | data structure

3 3 Stack implementation using linked list | data structures

3 4 Infix Prefix and Postfix expressions | Data structures

3 5 Infix to Postfix conversion rules using STACK | Data structures

3 6 Infix to Postfix using stack | Data structures

3 7 Infix to Postfix conversion using Stack | Data structures and algorithms

3 8 infix to prefix using stack | Data structures

3 9 Evaluation of Prefix and Postfix expressions using stack | Data structures

3 10 Postfix Expression evaluation using Stack | Data structures and algorithms

3 11 prefix to infix conversion | postfix to infix conversion | example Data structure

3 12 Expression trees | Binary Expression Tree | Data structures

3 13 Expression Tree from postfix | Data structures

4 1 Queue in data structure | Introduction to queues | data structures

4 2 Implementation of queue using Arrays | data structures

4 3 Queue implementation using linked list | data structure

4 4 Circular queue in data structure | circular queue using array | data structures

4 5 Circular queue in data structure | Circular queue using linked list | data structures

4 6 Implement Queue Using Stack | Data Structures

4 7 Deque in data structure | introduction to deque Double Ended Queue

4 8 Implementation of DEQUE using circular array | Data structures

5 1 Tree in data structure | Introduction to trees | Data structures

5 2 Binary Tree and its Types | Data Structures

5 3 Binary Tree Implementation | Data Structures

5 4 Binary Tree Representation |Array representation of binary tree | Data Structure

5 5 Binary Tree Traversals Inorder Preorder and Postorder | Data structures and algorithms

5 6 Binary Tree traversal Preorder Inorder Postorder

5 7 Construct Binary Tree from Preorder and Inorder traversal with example | Data structures

5 8 Construct Binary Tree from Postorder and Inorder with example | Data structures

5 9 Construct Binary Tree from Preorder and Postorder traversal | Data structure

5 10 Binary Search Trees BST Insertion and Deletion Explained

5 11 Construct Binary Search Tree BST from Preorder example |Data structures

5 12 Construct a Binary Search Tree BST from given Postorder traversal | Data structures

5 13 AVL tree Insertion Rotations LL RR LR RL with example | data structure

5 14 AVL tree Insertion | with solved example | Data structures

5 15 AVL Tree Deletion in Data structures | AVL tree deletion example

5 16 Red Black tree | Introduction to Red Black trees | Data structure

5 17 Red Black Tree Insertion

5 18 Red Black Tree deletion | Data structure

5 19 Splay Tree Introduction | Data structure

5 20 Splay Tree Insertion | Data structure

5 21 Splay Trees deletion | Bottom up Splaying | Data structure

5 22 Splay Tree Deletion | Top Down Splaying | Data Structure

5 23 Introduction to B Trees | Data structures

5 24 Insertion of elements in B tree of order 3 | Data structures and algorithms

5 25 Insertion of elements in B Tree of Order 5 | Data structures and algorithms

5 26 Insertion in B Tree of Order 5 with Given Alphabets | Data structures and algorithms

5 27 Insertion in B Tree of Order 4 Data Structure

5 28 B tree deletion in data structures

5 29 B tree insertion | B tree creation example | Data structure

5 30 B tree deletion| with example |Data structure

5 31 B tree insertion | create b tree of order 5 | Data structures

6 1 Graph representation in Data Structure Graph Theory |Adjacency Matrix and Adjacency List

6 2 BFS and DFS Graph Traversals| Breadth First Search and Depth First Search | Data structures

6 3 Types of edges in DFS | Edge classification | Data Structures and Algorithms

6 4 Minimum spanning tree | Data structures

6 5 Prim s Algorithm for Minimum Spanning Tree | Data structures

6 6 Kruskals Algorithm for Minimum Spanning Tree Greedy method | Data structures

6 7 UGC NET computer science Practice question with solution on Minimum spanning Tree

6 8 Detect Cycle in Directed Graph |Data Structures and Algorithms

6 9 Detect Cycle in Undirected Graph | Data Structures and Algorithms

6 10 Topological Sorting with Examples | How to find all topological orderings of a Graph

6 11 Connected Components how to find connected components in graph | Graph Theory

6 12 Finding All Bridges cut edge in a Graph | Data structures and algorithms

6 13 Dijkstra Algorithm single source shortest path| With example | Greedy Method

6 14 Bellman Ford Algorithm Single Source Shortest Path | Dynamic Programming

6 15 Floyd Warshall Algorithm All Pair Shortest Path algorithm | data structures and algorithms

7 1 Linear Search Algorithm with example | linear search in C | Data structures

7 2 What is binary search | Binary Search Algorithm with example | Data structures

7 3 Bubble Sort Algorithm| Data Structures

7 4 Insertion Sort Algorithm | Data Structure

7 5 Selection Sort Algorithm | Data Structure

7 6 Quick Sort Algorithm | Sorting Algorithm | Quick Sort Algorithm Explained

7 7 Merge Sort Algorithm | Sorting Algorithms| Merge Sort in Data structure

7 8 Max Heap Insertion and Deletion | Heap Tree Insertion and Deletion with example| Data Structure

7 9 Heap Sort | Heapify Method | Build Max Heap Algorithm

7 10 Radix Sort Bucket Sort Explained Easiest Way with Examples Sorting Algorithm

7 11 Shell Sort algorithm | sorting algorithms | Full explanation with code | data structures

7 12 Counting Sort algorithm analysis and code Easiest explanation | data structure

7 13 Radix Sort Easiest explanation with code | sorting algorithms | data structures

8 1 Hashing techniques to resolve collision| Separate chaining and Linear Probing | Data structure

8 2 Hashing Quadratic Probing | Collision Resolution Technique | Data structures and algorithms

8 3 Hashing Double Hashing | Collision Resolution technique | Data Structures and algorithms

9 1 Huffman coding example Greedy Method |Data Structures

9 2 Huffman coding example with probabilities UGC NET previous year questions

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A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a particular problem. Learning data structures and algorithms allow us to write efficient and optimized computer programs.

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