Hey, we're on their turf, Mike.

This is surf. (Ocean waves)

Yeah, so then I web surf.

What leave me alone ? This is our turf.

You wind surf? Any good at it?

I still surf. I sail the world. I freedive.

Recently, its teachers let it surf the Internet unsupervised.

Is it n, n 1 over n, n over n 1, n divided by n 1, n 1 divided by n, or is it n squared 1 over n 1?

And this as surf meant to be a joke but

lets parrots surf the Net and talk to other parrots.

Θ(n²), O(n²), and O(n³).

Now I've got a terrific job, you're back in your own turf.

Well, I heard it was rival gangs, you know, fighting for turf.

Okay. So basically (log n)⁷ beats 9n(log n)² and n² ³ beats (log n)⁷ and 9n(log n)² beats n² ³.

Indian isles by coral reefs commerce surrounds it with her surf.

Now, if K is n 2 that's n times n 2 where n².

So I subscript n by n is the n by n identity matrix.

So altogether we're talking about n n² or n³.

n times n minus one times n minus two.

It's hard to study a bluefin on its turf, the entire Pacific realm.

If we divide through by n, we get 2 n n and divided by n is actually n.

Russian(n, n) for lots of different values of n.

Log n is piddly as n gets big compared to n, and n is actually pretty piddly as n gets big compared to n².

And I moved down to La Jolla and learned how to surf.

n

N

N

N

N

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Keep shoot 'n. Keep shoot 'n.

Here we have n n 1.

Could there be n 1 ways, n 1 squared, n 1 factorial, or 2 n 1?

So, it's really n times n plus m which is (n² nm).

Look, dad, how will I get the surf reports and weather and all?

With the very long list that were wanting to tap values of, you might as well just sort the whole thing. n, well what happens with n? n where look we're comparing n log n to n( n) which is n³ ². n³ ² is asymptotically larger than n log n so we're still better off just sorting the whole list.

We're much better with n log n.

Is the depth that we get this way log n, n, or 2 n, and are the number of leaves at the bottom log n, n, or 2 n?

Adding up these three parts we get 2 n n(n 1) 2.

F(n) is in O(g(n)) there's our friend O that's really like saying f(n) g(n).

Ctrl N

N Go

PAL N

N no.