I had the privilege of delving into the intricate world of time complexity, guided by none other than the incredible Kunal Kushwaha.
The Significance of Time Complexity: Before diving into the formula, I revisited the importance of time complexity in algorithm analysis. Understanding how an algorithm's performance scales with input size is crucial for designing efficient solutions.
Introducing the AKRABAZI Formula: Kunal Kushwaha's method, named the AKRABAZI formula, simplified the complex process of calculating time complexity. It's an acronym that stands for different components of the formula, making it easier to remember and apply.
Deconstructing the Formula: The formula comprises six factors - Analysis, Known, Result, Assumption, Big O, and Input. Each factor plays a role in arriving at an accurate estimation of an algorithm's time complexity.
Application and Practice: I followed along with Kunal's examples, applying the AKRABAZI formula to various algorithms. It was enlightening to witness how this method could provide precise insights into time complexity, even for intricate algorithms.
Day 34 was a milestone in my DSA C++ journey, thanks to the invaluable lesson on time complexity and the AKRABAZI formula by Kunal Kushwaha.