Big-O Explained

how come this expression evals to false: "n 2 <= 1 * 4 for 1 > 0, we can see that this is now false" ?

also if chose for O(n^2) case c to be 1 then why do you write it as 3?
"3<=3*3^2, for 3>0 which is true, but the truthy applies also to 1st expression where you say it s falsy..

Great article, thank you for writing!

Thank you for the explanation and the links for further reading.

Really clear examples, this is great starting point on the whole theory of algorithm complexity, thanks for sharing this 👍

Thank you for breaking down Big O - such a popular topic in bootcamps! I can see it being used as a go to resource for a lot of new developers.