×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Asymptotic analysis Basics

Track :

Mathematics

Lessons no : 143

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Understand Big O, Big Theta, and Big Omega notation for algorithm efficiency analysis
  • Apply asymptotic analysis to evaluate algorithm performance in real-world scenarios
  • Differentiate between best, worst, and average case complexities using asymptotic notation
  • Analyze the growth rates of algorithms to optimize code and improve computational efficiency
  • Identify the dominant terms in algorithm complexity expressions for accurate performance estimation
  • Utilize asymptotic analysis to compare different algorithms for the same problem effectively
  • Assess the impact of input size on algorithm runtime and resource consumption
  • Develop skills to predict algorithm behavior as data scales in practical applications

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 143
Introduction to Data Structures
00:11:18

Introduction to Data Structures
Data Types vs Abstract Data Types
00:07:51

Data Types vs Abstract Data Types
Data Structure Definition Advantages
00:03:53

Data Structure Definition Advantages
Types of Data Structures
00:04:28

Types of Data Structures
Basics of Asymptotic Analysis Part 1
00:06:32

Basics of Asymptotic Analysis Part 1
Basics of Asymptotic Analysis Part 2
00:03:10

Basics of Asymptotic Analysis Part 2
Basics of Asymptotic Analysis Part 3
00:09:50

Basics of Asymptotic Analysis Part 3
Basics of Asymptotic Analysis Part 4
00:07:44

Basics of Asymptotic Analysis Part 4
Basics of Asymptotic Analysis Part 5
00:12:15

Basics of Asymptotic Analysis Part 5
Guidelines for Asymptotic Analysis Part 1
00:05:04

Guidelines for Asymptotic Analysis Part 1
Guidelines for Asymptotic Analysis Part 2
00:08:26

Guidelines for Asymptotic Analysis Part 2
Asymptotic Analysis Solved Problem 1
00:07:23

Asymptotic Analysis Solved Problem 1
Asymptotic Analysis Solved Problem 2
00:03:49

Asymptotic Analysis Solved Problem 2
Asymptotic Analysis Solved Problem 3
00:04:07

Asymptotic Analysis Solved Problem 3
Understanding the Void Pointers
00:04:19

Understanding the Void Pointers
Understanding the Null Pointers
00:04:23

Understanding the Null Pointers
Understanding the Dangling Pointers
00:05:11

Understanding the Dangling Pointers
Understanding the Wild Pointers
00:02:27

Understanding the Wild Pointers
Basics of Dynamic Memory Allocation
00:04:18

Basics of Dynamic Memory Allocation
Dynamic Memory Allocation using malloc
00:08:29

Dynamic Memory Allocation using malloc
Dynamic Memory Allocation using calloc
00:02:06

Dynamic Memory Allocation using calloc
Dynamic Memory Allocation using realloc
00:04:52

Dynamic Memory Allocation using realloc
Releasing the Dynamically Allocated Memory using free
00:04:04

Releasing the Dynamically Allocated Memory using free
Structures and Functions Part 1
00:07:11

Structures and Functions Part 1
Structures and Functions Part 2
00:02:50

Structures and Functions Part 2
Structures and Functions Part 3
00:02:48

Structures and Functions Part 3
Structures and Functions Part 4
00:03:38

Structures and Functions Part 4
Structures and Functions Part 5
00:07:50

Structures and Functions Part 5
Structures and Functions Part 6
00:05:14

Structures and Functions Part 6
Self Referential Structures
00:06:20

Self Referential Structures
Introduction to Linked List
00:06:21

Introduction to Linked List
Array vs Single Linked List In Terms of Representation
00:04:10

Array vs Single Linked List In Terms of Representation
Creating the Node of a Single Linked List
00:06:00

Creating the Node of a Single Linked List
Creating a Single Linked List Part 1
00:04:37

Creating a Single Linked List Part 1
Creating a Single Linked List Part 2
00:07:00

Creating a Single Linked List Part 2
Traversing a Single Linked List Counting the Nodes
00:06:07

Traversing a Single Linked List Counting the Nodes
Traversing a Single Linked List Printing the Data
00:03:44

Traversing a Single Linked List Printing the Data
Traversing the List Linked List vs Arrays
00:04:00

Traversing the List Linked List vs Arrays
Single Linked List Inserting a Node at the End
00:05:48

Single Linked List Inserting a Node at the End
Insertion at the End Linked List vs Array Part 1
00:07:35

Insertion at the End Linked List vs Array Part 1
Show More Lessons


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

Real numbers
11 Lessons

Real numbers

Statistics
14 Lessons

Statistics

Quadratic Equation
12 Lessons

Quadratic Equation

Polynomials
11 Lessons

Polynomials

Pair of Linear Equations in Two Variables
14 Lessons

Pair of Linear Equations in Two Variables

Coordinate Geometry
11 Lessons

Coordinate Geometry

Arithmetic Progression
11 Lessons

Arithmetic Progression

Areas Related to Circles
12 Lessons

Areas Related to Circles

Circles
14 Lessons

Circles

Application of Trigonometry
11 Lessons

Application of Trigonometry

Triangles
19 Lessons

Triangles

Surface Area and Volumes
22 Lessons

Surface Area and Volumes

Youth Empowerment
12 Lessons

Youth Empowerment

Algebra Full data
36 Lessons

Algebra Full data

Algebra
30 Lessons

Algebra

Discrete Mathematics
26 Lessons

Discrete Mathematics

Asymptotic analysis course, in this course Explore the fundamental concepts of analyzing algorithm efficiency as input sizes increase, a vital skill in computer science.