Data Structures Through C in Depth 2nd revised and Updated Edition by Srivastava, Deepali Srivastava ISBN 8176567418 9788176567411

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Product details:
ISBN 10: 8176567418
ISBN 13: 9788176567411
Author: Srivastava, Deepali Srivastava

Data Structures Through C in Depth 2nd revised and Updated Edition Table of contents:

• Introduction to C Programming

  • Basics of C Programming Language
  • Variables, Data Types, and Operators
  • Control Statements (if, for, while, etc.)
  • Functions and Recursion
  • Pointers and Memory Management
  • Arrays and Strings in C

• Fundamentals of Data Structures

  • What are Data Structures?
  • Types of Data Structures (Linear and Non-Linear)
  • Array, Stack, Queue, Linked List, Tree, Graph
  • Applications of Data Structures

• Arrays and Its Applications

  • Representation of Arrays in Memory
  • One-dimensional Arrays
  • Multi-dimensional Arrays
  • Array Operations (Traversal, Insertion, Deletion, Searching, Sorting)
  • Applications of Arrays

• Stacks and Queues

  • Concept and Implementation of Stack
  • Stack Operations (Push, Pop, Peek)
  • Applications of Stack (Expression Evaluation, Balancing Symbols)
  • Concept and Implementation of Queue
  • Queue Operations (Enqueue, Dequeue, Front, Rear)
  • Circular Queue and Priority Queue

• Linked Lists

  • Singly Linked List: Definition and Implementation
  • Linked List Operations (Insertion, Deletion, Traversal)
  • Doubly Linked List and Circular Linked List
  • Applications of Linked Lists

• Trees

  • Introduction to Trees and Binary Trees
  • Binary Tree Representation
  • Tree Traversal Techniques (Inorder, Preorder, Postorder)
  • Binary Search Trees (BST)
  • AVL Trees and Balance Factor
  • Applications of Trees (Expression Trees, Decision Trees)

• Graphs

  • Graph Terminology and Representation (Adjacency Matrix and List)
  • Graph Traversal Techniques (BFS, DFS)
  • Shortest Path Algorithms (Dijkstra’s, Bellman-Ford)
  • Minimum Spanning Trees (Prim’s, Kruskal’s)
  • Applications of Graphs

• Searching and Sorting Algorithms

  • Linear Search and Binary Search
  • Bubble Sort, Selection Sort, Insertion Sort
  • Merge Sort, Quick Sort
  • Heap Sort and Radix Sort
  • Time and Space Complexity Analysis (Big-O Notation)

• Hashing

  • Hash Table and Hash Function
  • Collision Resolution Techniques (Chaining, Open Addressing)
  • Applications of Hashing

• Advanced Data Structures

  • B-Trees and B+ Trees
  • Trie and its Applications
  • Splay Trees
  • Disjoint Set Data Structures (Union-Find)
  • Red-Black Trees

• Complexity Analysis

  • Introduction to Time and Space Complexity
  • Big-O, Big-Ω, and Big-Θ Notations
  • Best, Worst, and Average Case Analysis
  • Analysis of Common Algorithms

• Applications of Data Structures

  • Real-life Applications of Stacks, Queues, Trees, and Graphs
  • Solving Problems Using Data Structures
  • Case Studies and Examples

• Conclusion and Further Learning Resources

  • Importance of Data Structures in Software Development
  • Resources for Further Study and Practice
  • Career Paths for Data Structure Professionals

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