Is hessian the same as saddle point? I have wrritten down in my notes the same formula both under the name Hessian and Saddle point. The formula is fxx * fyy - fxy
the hessian can be thought of as the second derivative
Ok i see that by the formula. You find fxx, fyy, fxy and plug into the formula. So what is the saddle point then?
um...
D= fxxfyy-(fxy)^2<0 --> saddle point
so my question was are they the same. And by what you and zzrock said, they are the same thing correct? Same formula?
do you know what an inflection point is?
do you know how it relates to the second derivative?
this is similar to that
I don't I just learned about this on friday
I just wanted to know if that formula is the same for both , are they basically the same
Example of the Saddle point is where the function on the left is decreasing , while it on the right is increasing. So the function has no idea which its leading to if you look in many different pathways.
And the formula is not the same. Hessian has fxy^2, not just fxy as you said.
Sorry that is what I meant to put fxy^2
Hessian can yield 4 different types, it can be used to find local max, local min, saddle or useless info. so its probably not wise to make an assumption that hassian is equivalent to a saddle point.
ok. I may have been confused because my teacher does it differently than I saw it done on chegg
@Andysebb my assumption is that fxx is referring to the second partial derivative of f with respect to x? and the same goes for the other two? correct?
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