Big O notation is a way of expressing the upper bound or worst-case scenario of an algorithm's complexity. It ignores constant factors and lower-order terms that are insignificant for large inputs.

In the last lesson, we defined Big O notation as a way to classify algorithms and give a summary of their time or space complexity based on the size of the inputs. We also learned how to calculate the ...

Learn what Big O notation is, how to use it, and how to apply some notation rules to measure, compare, and optimize your algorithm performance. Skip to main content LinkedIn ...

We summarized the time complexity of our function like this: Given an input array of n elements, the worst case scenario is that the algorithm needs to make n iterations. In Big O notation, we can ...