What's the worst case scenario?

What's my worst case scenario?

So, the first guiding principle is that we used what's often called worst case analysis. By worst case.

We have focused on the worst case scenario.

logarithmic and as big, in the worst case, as linear.

Everybody in this room has heard the worst case scenarios.

And each hair has the worst case of split ends possible.

Simplifying the worst case, all we have is a while loop through every element in the list p, so this is clearly linear in the worst case.

So you might say, OK, worst case, these banks all go bankrupt.

Worst case, this is a zero, and then you get a 5.

They say It would in that case, be a return with loss!

They say It would, in that case, be a return with loss!

Even in the worst case, she will not die of such an illness.

They can really re present and create their worst case scenario of suffering.

Randomizing might help avoid worst case behavior, but it's not the fastest way.

Go to the extreme in your image and see what will be the worst. In the worst case what is going to happen?

A loss was a loss.

Worst

This is going to go through length of input list times in the worst case.

The worst case can be bad, but there's a way of fixing that as well.

So, as a result, worst case analysis is particularly appropriate for general purpose sub routines.

The worst.

The worst.

We also applied it to 10,000 people. Our average loss in this case was 20 pounds.

Now, this, so, sort of worst case guarantee popped out so naturally from our analysis of Merge

And what they particularly wanted to know, and asked many times was what is the worst case scenario.

It's the worst!

No, the worst.

It also meant, if the worst came to the worst,

In this case the worst and the best case are really the same, because no matter what, you traverse this for loop for the length of p.

Carrier Loss Rate

Possible Data Loss

Data Loss Warning

Loss of memory.

Loss of health is more serious than loss of money.

The optional parameter workfactor controls how the compression phase behaves when presented with worst case, highly repetitive, input data.

And that it's accelerating even faster than what we thought was the worst case just a few years back.

By contrast, in worst case analysis, by definition you're making absolutely no assumptions about where the input comes from.

Namely, we're gonna pursue algorithms whose worst case running time grows slowly as a function of the input size.

For us that means making sure that people understand the worst case scenario for who will see the footage.

The worst is over.

The worst situation resulted.

Worst talk ever! (Laughter)

The worst is over.

The worst, in 45.