- #1
Juan Pablo
- 40
- 0
I'm attempting to understand this notation (involving the Hessian) for the quadratic Taylor series for two variable.
[tex]T_2 ( \tmmathbf{x}) = f ( \tmmathbf{a}) + \nabla f ( \tmmathbf{a}) \cdot
( \tmmathbf{x - a}) + \frac{1}{2} ( \tmmathbf{x - a}) \cdot H (
\tmmathbf{a}) \cdot ( \tmmathbf{x - a})^t[/tex]
where
[tex]x=(x_1,x_2)[/tex] and
[tex]a=(a_1,a_2)[/tex]
and H is the Hessian
It was given by my professor, I understand the the first part just fine (until [tex]\frac{1}{2}[/tex]). I'm not sure what to do with the Hessian there. Do I take the determinant? What does the t means? Should I transpose the vector matrix of [tex]x-a[/tex]?
I would like to put it in a more simple way that doesn't involve vectors so I can take the partial derivatives.
Any sort of guidance would be greatly appreciated.
[tex]T_2 ( \tmmathbf{x}) = f ( \tmmathbf{a}) + \nabla f ( \tmmathbf{a}) \cdot
( \tmmathbf{x - a}) + \frac{1}{2} ( \tmmathbf{x - a}) \cdot H (
\tmmathbf{a}) \cdot ( \tmmathbf{x - a})^t[/tex]
where
[tex]x=(x_1,x_2)[/tex] and
[tex]a=(a_1,a_2)[/tex]
and H is the Hessian
It was given by my professor, I understand the the first part just fine (until [tex]\frac{1}{2}[/tex]). I'm not sure what to do with the Hessian there. Do I take the determinant? What does the t means? Should I transpose the vector matrix of [tex]x-a[/tex]?
I would like to put it in a more simple way that doesn't involve vectors so I can take the partial derivatives.
Any sort of guidance would be greatly appreciated.