VTU Notes

The Complete 18CS32 | Data Structures and Applications - CSE Notes

  • 4.9
  • 2018 Scheme | CSE Department


VTU Data Structures and Applications CSE Notes.

Data structures are a specific way of organizing data in a specialized format on a computer so that the information can be organized, processed, stored, and retrieved quickly and effectively. They are a means of handling information, rendering the data for easy use.

Every application, piece of software, or programs foundation consists of two components: algorithms and data. Data is information, and algorithms are rules and instructions that turn the data into something useful for programming.

Put another way, remember these two simple equations:

Related data + Permissible operations on the data = Data Structures

Data structures + Algorithms = Programs

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What You’ll Learn

Module – 1
Introduction: Data Structures, Classifications (Primitive & Non-Primitive), Data structure Operations, Review of Arrays, Structures, Self-Referential Structures, and Unions. Pointers and Dynamic Memory Allocation Functions. Representation of Linear Arrays in Memory Dynamically allocated arrays. Array Operations and Strings
Module – 2
Stacks: Definition, Stack Operations, Array Representation of Stacks, Stacks using Dynamic Arrays, Stack Applications: Polish notation, Infix to postfix conversion, evaluation of postfix expression. Recursion – Factorial, GCD, Fibonacci Sequence, Tower of Hanoi, Ackerman’s function. Queues: Definition, Array Representation, Queue Operations, Circular Queues, Circular queues using Dynamic arrays, Dequeues, Priority Queues, A-Mazing Problem. Multiple Stacks and Queues. Programming Examples.
Module – 3
Linked Lists: Definition, Representation of linked lists in Memory, Memory allocation; Garbage Collection. Linked list operations: Traversing, Searching, Insertion, and Deletion. Doubly Linked lists, Circular linked lists, and header linked lists. Linked Stacks and Queues.  Applications of Linked lists – Polynomials, Sparse matrix representation. Programming Examples
Module – 4
Trees: Terminology, Binary Trees, Properties of Binary trees, Array and Linked Representation of Binary Trees, Binary Tree Traversals – Inorder, postorder, preorder; Additional Binary tree operations. Threaded binary trees, Binary Search Trees – Definition, Insertion, Deletion, Traversal, Searching, Application of Trees-Evaluation of Expression, Programming Examples
Module – 5
Graphs: Definitions, Terminologies, Matrix, and Adjacency List Representation Of Graphs, Elementary Graph operations, Traversal methods: Breadth-First Search and Depth First Search. Sorting and Searching: Insertion Sort, Radix sort, Address Calculation Sort. Hashing: Hash Table organizations, Hashing Functions, Static and Dynamic Hashing. Files and Their Organization

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