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Questions about methods for estimating the increase in runtime of an algorithm as the input size increases.

6 votes

The difference between theoretical complexity and practical efficiency

Auberon provided a very good explanation of the Big O. I will try to explain what that means for you. First of you are right. The first code example has $\frac{n^2}{4}$ iterations, but is still in th …
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