Data structures and Applications|BCS304|MODULE-1|MQP|PYQ|important questions|DSA|VTU|edu yodha

Data structures and Applications | BCS304 | MODULE-1 | MQP | PYQ | important questions | DSA | VTU | edu yodha
Follow the ENGINEERING IN KARNATAKA channel on WhatsApp: https://whatsapp.com/channel/0029Vb27...
Module Introduction & Data Structure Basics
00:00:00 - 00:01:07
Introduction
00:00:33 - 00:02:34
Question 1: Define Data Structure & Classification
00:02:33 - 00:04:03
Linear vs. Non-Linear Data Structures
00:04:08 - 00:05:21
Question 2: Stack Definitions: Explanation of Pop (delete), Push (insert), and Display operations using the "Container" analogy and LIFO (Last In First Out) concept.
00:05:21 - 00:08:23
Push Function Logic:
Defining MAX size and initializing top = -1.
Checking for Stack Overflow (top == MAX - 1).
Incrementing top and inserting the item.
00:08:26 - 00:09:42
Pop Function Logic:
Checking for Stack Underflow (top == -1).
Decrementing top to remove an element.
00:09:38 - 00:11:08
Display Function Logic:
Checking if the stack is empty.
Using a for loop to print elements from top down to 0.
Data Structure Operations & Memory Management
00:11:12 - 00:14:06
Question 3: Operations on Data Structures:
Traversing: Visiting each element at least once.
Searching: Finding a location of an element.
Inserting & Deleting: Adding or removing elements.
Sorting: Arranging elements in order.
Merging: Combining two lists.
00:14:07 - 00:19:27
Question 4: Dynamic Memory Allocation:
Definition: Allocating memory during runtime.
malloc(): Allocates memory block, returns garbage values initially.
calloc(): Allocates contiguous memory, initializes to zero.
realloc(): Changes the size of previously allocated memory.
free(): De-allocates memory.
Example program demonstrating these functions.
Structures, Unions & Matrices
00:19:25 - 00:21:28
Question 5: Structure vs. Union:
Structure: Uses struct keyword, separate memory for each member, more safe.
Union: Uses union keyword, shared memory (size = largest member), less safe.
00:21:28 - 00:25:29
Question 6: Sparse Matrix:
Definition: Matrix where the majority of elements are zero.
Triplet Form Representation: Storing only non-zero values as (Row, Column, Value).
Example walkthrough of converting a matrix to triplet form.
00:25:27 - 00:29:28
Sparse Matrix Transpose:
Logic to swap rows and columns.
Method to write the transpose in triplet form by sorting column indices.
Advanced Structures & Algorithms
00:29:24 - 00:34:04
Question 7: Self-Referential Structures:
Definition: A structure that contains a pointer to itself (e.g., Node in a Linked List).
Code example: struct Node with int data and struct Node *link.
Visualizing nodes (n1, n2, n3) linking to each other.
00:34:06 - 00:38:52
Question 8: ADT (Abstract Data Type) for Stack:
Formal definition of Objects (finite ordered list).
Functions: Create, IsFull, Push, IsEmpty, Pop.
00:38:52 - 00:47:36
Question 9: Pattern Matching Algorithm:
Goal: Check if a pattern string exists inside a main string.
Logic: Returns the index of the first match or -1 if not found.
Failure Function (LPS): Handling mismatches efficiently without restarting from the beginning.
Example walkthrough with string "ababc...".
Expression Evaluation & String Manipulation
00:47:04 - 00:51:24
Question 10: Postfix Expression Evaluation:
Method: Scan expression, push operands (numbers) to stack, pop two operands when an operator is found, calculate, and push result back.
Step-by-step solution for: 6 2 / 3 - 4 2 * +.
00:51:24 - 01:01:19
Infix to Postfix Conversion Algorithm:
Rules regarding operator precedence ^ over * / over + - and associativity.
Using a stack to hold operators and parentheses while printing operands immediately.
Example walkthrough: handling (, ), and operators.
01:01:16 - 01:06:41
Question 11: String Manipulation Functions (Without built-in libs)
Closing
01:06:41 - 01:07:26
Conclusion