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Discussion on: What is Big O Notation?

 
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aRtoo

In the example with all the if statements, if we define n to be > the number of if statements, then the algorithm is in fact O(n). > But n is just a constant, so it's really O(1).

Im guessing the author is talking about n as number of ifs thats how I was understanding it. Thats why he had to create a hash for a constant look up.