Learning Time Complexity Analysis
A time complexity analyzes how long it takes for an algorithm to perform its operation in terms of its input length. Typically, an algorithm’s time complexity is expressed using asymptotic notations:
- Best Case (Omega Notation (Ω))
- Average Case (Theta Notation (Θ))
- Worst Case (O Notation(O))
For Example: Person A solves the given problem by using Bubble Sort algorithm.
Person B solves the given problem by using Quick Sort algorithm.
So, person A here solved the problem in an easy way yet Person B solved the problem in an efficient way.
How to improve your DSA skills?
Enhancing data structure and algorithm skills allows for achieving proficiency in programming and excelling in technical interviews. These foundational skills enable efficient problem-solving and algorithm design, fostering success in the competitive world of software development and job interviews.
Table of Content
- 1. Learn the Programming language
- 2. Understand Data Structures and Algorithms
- 3. Online Courses and Tutorials
- 4. Practice Coding
- 5. Learning Time Complexity Analysis
- 6. Build Projects
- 7. Interview Practice
- 8. Refer Resources if Stuck on a topic
Here are the points on how to enhance your skills in this area: