Let's look at this second function proc2.

The first is the hypothesis function, and the second is a cost function.

So fn prime of x times the second function, g n of y, plus the first function, fn of x, times the derivative of the second function.

Then that equals the derivative of the first times the second function, plus the first function times the derivative of the second.

Now you add that to the derivative of the second function times the first function.

The second parameter is where you specify the callback function.

Login function, and we'll go over that in a second.

So plus f1 of x, that's just the first function, times the derivative of the second function.

Now the derivative of the second function, it's going to be this function with respect to y.

So if we have u times v, if we take the derivative with respect to t of that, that's equal to the derivative of the first times the second function plus the first function times the derivative of the second function.

This is also non linear, because I multiplied the function times its second derivative.

So say some constant, c1, times my first function, f of t, plus some constant, c2, times my second function, g of t.

I'll tell you its function in a second, but it's pretty neat to look at.

It has a function that initializes matrices I'll show you an example in a second.

The first, would be using the lambda notation. And the second is using inline function defines.

Plus f prime prime, the second derivative of the function at 0, times x squared over 2.

Because we evaluated this curvy function, it's second derivative 0, so we just got a number here.

However because the hash function is slow, each attempt is gonna take him a tenth of second.

Function

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Form is function. Form is function.

That the chain rule, with respect to one of the variables, but the second variable in the function is also a function of x, the chain rule is this.

The second function we are going to write creates a risk of all the prefixes for a given string.

The derivative of the second function with respect to y is just g prime of y times dy dx.

Well, that's just going to be f1 prime of x times the second function, well, that's just g1 of y.

So here is a definition of the heuristic function initializes h always zero everywhere instead of the heuristic function over here, which I won't use for a second and just call it heuristic old, and this is the current heuristic function.

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Wait a second. Wait a second.

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