Questions tagged [partial-derivative]

For questions regarding partial derivatives. The partial derivative of a function of several variables is the derivative of the function with respect to one of those variables, with all others held constant.

The partial derivative of a function of several variables is the derivative of the function with respect to one of the variables, with the others held constant. The partial derivative, like the ordinary derivative, describes the rate of change of a function in a particular direction.

If $f = f(a_1, a_2, \dots, a_n)$ is a function of $n$ variables, then the partial derivative of $f$ with respect to the variable $a_i$ can be written as a limit:

$$\frac{\partial f}{\partial a_i} = \lim_{h \to 0} \frac{f(a_1, \dots, a_i + h, \dots, a_n) - f(a_1, \dots, a_i, \dots, a_n)}{h}.$$

Alternatively, this quantity can be denoted as $f_{a_i}$.

If the function has continuous partial second derivatives, then:

$$\frac{\partial}{\partial x_i}\left(\frac{\partial}{\partial x_j}\right)=\frac{\partial}{\partial x_j}\left(\frac{\partial}{\partial x_i}\right)$$

a result known as Schwarz's Theorem.

6917 questions
-3
votes
1 answer

Calculate a partial differential

I calculated the partial differential of $y^2$ with respect to $x$. I thought this would be $0$ since no $x$ is present in the equation, so $x$ must be $1$. The derivative of $1$ is $0$, so $y^2*0 = 0$. The answer is $y^2$ though. Why is this…
-3
votes
1 answer

Unknown factor in partial derivative

On A Step by Step Backpropagation Example, in the section The Backwards Pass - Output Layer, after the graphic, the author wrote: $\frac{\partial E_{total}}{\partial out_{o1}}=2* \frac{1}{2}(target_{o1}-out_{o1})^{2-1}*-1+0$ Please explain where the…
reaanb
  • 109
1 2 3
28
29