It's a good enough approximation.

That'll be good for approximation.

You can see why this is a good approximation.

Fast approximation

And we'll see how good of an approximation it is in that next video.

The variance is about 11.1 in approximation.

And then we'll actually see how good of an approximation this really is.

But we're going to hope that it's a good enough approximation of reality.

Enable fast approximation when rendering images.

Three.js, there's some approximation of gamma.

The very first approximation is physics.

That gives you first approximation to the density distribution in space.

Monte Carlo techniques gives us an approximation.

One, you say, well this is an approximation.

You'll get the area of this rectangle, which might be a pretty good approximation for the area under the curve.

The histogram is a mere approximation for this continuous distribution.

And this function is a pretty good analytic approximation for some type of real world behavior like this when something just gets moved.

Really, diffuse is simply an approximation of which we should be aware.

Again, the real robot would take a curve, but in our approximation we assume it goes in a straight line and then finally does a very discrete turn, which is an approximation, but that's the question I have asked you here.

So to a first approximation, we have these things twenty petahertz synapse firings.

These are velocities 50 and 40 in approximation, which multiplied with 0.1 is our plus 5 and our 4.

The rigorous solution for the density as a function of time will be a little more difficult, but we can do the following fairly good approximation.

Because you'll have a little bit extra over here but you're going to miss a little bit over there, so it might be a pretty good approximation.

And the answer is 2.12 in approximation. The way we get this is applying this formula here 2 5 2.

But that's, you could say, a very rough approximation of f of x, right?

Three.js uses an on the fly approximation, squaring the texture's color when it is sampled.

So I study social media, which means, to a first approximation, I watch people argue.

I worked in a hospital once. Good, good.

Or as we go past that. So we get that. But that would just be an approximation.

I'm in good shape.

I'm in good shape.

Good. Then climb in!

She's in good hands.

All in good time.

Make good friends and read good books in youth.

Now this is going to be a little unwieldy to deal with, so we can make an approximation.

This is from the counter table with very large interval here, so we can use a Gaussian approximation.

But around x is equal to 0, it's going to be a better approximation of f of x.

They might have some very irregular shapes, but the triaxial ellipsoid is a better approximation than a sphere.

In addition to good health, he has a good brain.

She abounds in good will.

He's really in good shape.

He's in good physical condition.

He was in good spirits.

He made good in business.