What is the importance of Big O notation in algorithms?

What is the importance of Big O notation in algorithms?

Big O notation is crucial for analyzing the efficiency of algorithms, especially in terms of time and space complexity.

Can you explain how it helps in comparing algorithms?

Certainly! Big O allows us to express the upper limit of an algorithm's running time, making it easier to compare their performance.

What are some common Big O notations I should know?

Some common Big O notations include O(1) for constant time, O(n) for linear time, and O(n^2) for quadratic time.

How does Big O affect real-world applications?

In real-world applications, understanding Big O helps developers choose the most efficient algorithms, improving performance and scalability.

Are there any exceptions where Big O might not be the best measure?

Yes, in some cases, Big O might not capture the full picture, especially when considering constant factors or lower-order terms.