Data Structures

Explore key resources related to **Data Structures**, an essential topic for Computer Science and Engineering students. This includes important concepts, previous year exam papers, and reference materials.

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Important Concepts - Data Structures

Here are the key concepts for **Data Structures**, which are crucial for your exam preparation.

Arrays

  • Linear Arrays
  • Multi-Dimensional Arrays
  • Array Operations (Insert, Delete, Search)
  • Dynamic Arrays

Linked List

  • Single Linked List
  • Double Linked List
  • Circular Linked List
  • Operations on Linked List (Insert, Delete, Traverse)

Stacks

  • Stack Implementation (Array, Linked List)
  • Stack Operations (Push, Pop, Peek)
  • Applications of Stack (Expression Evaluation, Parenthesis Matching)

Queues

  • Queue Implementation (Array, Linked List)
  • Queue Operations (Enqueue, Dequeue, Peek)
  • Circular Queues
  • Priority Queues

Trees

  • Binary Trees
  • Binary Search Trees (BST)
  • Tree Traversals (In-order, Pre-order, Post-order)
  • AVL Trees, Red-Black Trees

Graphs

  • Graph Representations (Adjacency Matrix, Adjacency List)
  • Graph Traversal Algorithms (DFS, BFS)
  • Shortest Path Algorithms (Dijkstra, Bellman-Ford)
  • Minimum Spanning Tree (Prim's, Kruskal's)

Previous Year Exams - Data Structures

Here are previous year exam papers for **Data Structures**, helping you to prepare for the exams effectively.

Data Structures - Previous Year Papers

Download and practice previous year exam papers on Data Structures, including arrays, linked lists, stacks, queues, trees, and graphs.

Reference Materials - Data Structures

Download essential reference materials and notes to enhance your understanding of **Data Structures**.

Data Structures - Key Concepts

Download notes covering the essential concepts of Data Structures, including arrays, linked lists, stacks, queues, trees, and graphs.

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