The Complete 18CS32 | Data Structures and Applications - CSE Notes
- 4.9
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2018 Scheme | CSE Department
- Created by AcquireHowTo
- 5 Modules
Description
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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