A scalar valued function is defined as $f(x)=x^TAx+b^Tx+c$ , where $A$ is a symmetric positive definite matrix with dimension $n\times n$ ; $b$ and $x$ are vectors of dimension $n\times 1$. Show that the minimum value of $f(x)$ will occur when $x$ equals to $-\frac{A^{-1}b}{2}$.
I found the answer of the same here. But I an unable to get the partial derivatives. Please any one explain the solution.
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