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Space Complexity of an Algorithm in Data Structures Design and analysis of Algorithms DAA

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Lessons List | 105 Lesson
Definition of data structure what is data structure
00:07:28

Definition of data structure what is data structure
Types of data structure
00:05:15

Types of data structure
abstract data type ADT
00:04:27

abstract data type ADT
List ADT list adt using array
00:06:30

List ADT list adt using array
Array Operations
00:04:25

Array Operations
C Program to insert an element into the array at begin position
00:13:54

C Program to insert an element into the array at begin position
C Program to insert an element into the array at specified position
00:13:05

C Program to insert an element into the array at specified position
C Program to insert an element into the array at end position
00:06:03

C Program to insert an element into the array at end position
C Program to delete an element from the array at begin position
00:09:40

C Program to delete an element from the array at begin position
C Program to delete an element from the array at specified position
00:08:58

C Program to delete an element from the array at specified position
C Program to delete an element from the array at end position
00:06:20

C Program to delete an element from the array at end position
C Program to update an array element at specified position
00:06:55

C Program to update an array element at specified position
Limitations of arrays in C or Limitations of Static memory allocation
00:07:41

Limitations of arrays in C or Limitations of Static memory allocation
performance analysis of an algorithm Data Structures Design and analysis of Algorithms DAA
00:08:13

performance analysis of an algorithm Data Structures Design and analysis of Algorithms DAA
frequency count method to calculate Time Complexity of an Algorithm step count method DS DAA
00:15:19

frequency count method to calculate Time Complexity of an Algorithm step count method DS DAA
asymptotic notations in data structure with example Design and analysis of Algorithms DAA
00:19:40

asymptotic notations in data structure with example Design and analysis of Algorithms DAA
Types of computing times data structures Design and analysis of Algorithms DAA
00:06:53

Types of computing times data structures Design and analysis of Algorithms DAA
General rules or norms for calculating time complexity Data Structures DAA
00:10:27

General rules or norms for calculating time complexity Data Structures DAA
Space Complexity of an Algorithm in Data Structures Design and analysis of Algorithms DAA
00:09:45

Space Complexity of an Algorithm in Data Structures Design and analysis of Algorithms DAA
LINKED LIST CREATION AND DISPLAY DATA STRUCTURES
00:36:47

LINKED LIST CREATION AND DISPLAY DATA STRUCTURES
LINKED LIST INSERTION AT BEGINNING ENDING SPECIFIED POSITION DATA STRUCTURES
00:24:46

LINKED LIST INSERTION AT BEGINNING ENDING SPECIFIED POSITION DATA STRUCTURES
LINKED LIST DELETION FROM BEGINNING ENDING AND SPECIFIED POSITION DATA STRUCTURES
00:14:01

LINKED LIST DELETION FROM BEGINNING ENDING AND SPECIFIED POSITION DATA STRUCTURES
counting number of nodes in a single linked list
00:05:53

counting number of nodes in a single linked list
searching a node in singly linked list
00:10:06

searching a node in singly linked list
sorting a singly linked list
00:14:02

sorting a singly linked list
reversing a singly linked list in c
00:14:36

reversing a singly linked list in c
advantages and disadvantages of linked list differences between array and linked list
00:09:09

advantages and disadvantages of linked list differences between array and linked list
CIRCULAR LINKED LIST CREATE AND DISPLAY DATA STRUCTURES
00:21:15

CIRCULAR LINKED LIST CREATE AND DISPLAY DATA STRUCTURES
CIRCULAR LINKED LIST INSERTION AT BEGINNING ENDING SPECIFIED POSITION DATA STRUCTURES
00:18:10

CIRCULAR LINKED LIST INSERTION AT BEGINNING ENDING SPECIFIED POSITION DATA STRUCTURES
CIRCULAR LINKED LIST DELETION FROM BEGINNING ENDING AND SPECIFIED POSITION DATA STRUCTURES
00:19:53

CIRCULAR LINKED LIST DELETION FROM BEGINNING ENDING AND SPECIFIED POSITION DATA STRUCTURES
advantages and disadvantages of circular linked list
00:04:26

advantages and disadvantages of circular linked list
DOUBLE LINKED LIST CREATE AND DISPLAY DATA STRUCTURES
00:22:22

DOUBLE LINKED LIST CREATE AND DISPLAY DATA STRUCTURES
DOUBLE LINKED LIST INSERTION AT BEGINNING ENDING SPECIFIED POSITION DATA STRUCTURES
00:18:34

DOUBLE LINKED LIST INSERTION AT BEGINNING ENDING SPECIFIED POSITION DATA STRUCTURES
DOUBLE LINKED LIST DELETION FROM BEGINNING ENDING AND SPECIFIED POSITION DATA STRUCTURES
00:10:11

DOUBLE LINKED LIST DELETION FROM BEGINNING ENDING AND SPECIFIED POSITION DATA STRUCTURES
Reversing Double Linked List
00:10:44

Reversing Double Linked List
advantages and disadvantages of doubly linked list
00:06:17

advantages and disadvantages of doubly linked list
Circular Double Linked List Create and Display
00:23:23

Circular Double Linked List Create and Display
Circular Double Linked List Insertion Begin end and Specified Position
00:26:31

Circular Double Linked List Insertion Begin end and Specified Position
Circular Double Linked List Deletion Begin end and Specified Position
00:22:42

Circular Double Linked List Deletion Begin end and Specified Position
Applications of Linked List data structure
00:05:10

Applications of Linked List data structure
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Course Description

Data structure types course, in this course we will learn about the Data Structure Types, essential for organizing and managing data efficiently in computer programs. Data structures are foundational to programming and software development, providing ways to store and manipulate data in a structured manner. We will explore a variety of data structures, starting with Arrays, which store elements in contiguous memory locations, allowing for efficient indexing and traversal. Next, we will cover Linked Lists, where elements are stored in nodes connected by pointers, providing flexibility in memory allocation. We will delve into Stacks and Queues, which are used for managing data with Last-In-First-Out (LIFO) and First-In-First-Out (FIFO) access patterns, respectively. The course will introduce Trees, including Binary Search Trees and Heaps, which facilitate hierarchical data representation and efficient searching and sorting operations. We will also examine Graphs, which model relationships between objects, and Hash Tables, which provide fast data retrieval using key-value pairs. Advanced data structures like Tries (Prefix Trees), AVL Trees, Red-Black Trees, and B-Trees will be discussed for specialized applications. Additionally, we will explore Sets and Maps for managing collections of unique elements and key-value pairs, respectively. Throughout the course, you will learn about the advantages, use cases, and implementation details of each data structure, along with practical coding examples and exercises. By the end of this course, you will have a comprehensive understanding of various data structure types, enabling you to choose and implement the most appropriate structures for different programming scenarios. Join us to master the art of data organization and elevate your programming skills.
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