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Gradient : derive deriver diff grad

derive (or diff or grad) takes two arguments : an expression F of n real variables and a vector of these variable names.
derive returns the gradient of F, where the gradient is the vector of all partial derivatives, for exmple in dimension n = 3

$\displaystyle \overrightarrow{\mbox{grad}}(F)= [\frac{\partial F}{\partial x},\frac{\partial F}{\partial y},\frac{\partial F}{\partial z}] $

Find the gradient of F(x, y, z) = 2x2y - xz3.
Input :
Or :
Or :
Output :
Output after simplification with normal(ans()) :
To find the critical points of F(x, y, z) = 2x2y - xz3, input :
Output :

giac documentation written by Renée De Graeve and Bernard Parisse