Answer
Two Saddle points at $(0,1)$ and $(3,-2)$
; Local minimum point at $f(3,1)=-34$ and Local maximum point at $f(0,-2)=20$
Work Step by Step
Given: $f_x(x,y)=6x^2-18x=0, f_y(x,y)=6y^2+6y-12=0$
Simplify the given two equations.
Critical points: $(0,-2),(0,1),(3,-2), (3,1)$
In order to solve this problem we will have to apply Second derivative test that suggests the following conditions to calculate the local minimum, local maximum and saddle points of $f(x,y)$ or $f(x,y,z)$.
1. If $D(a,b)=f_{xx}(a,b)f_{yy}(a,b)-[f_{xy}(a,b)]^2 \gt 0$ and $f_{xx}(a,b)\gt 0$ , then $f(a,b)$ is a local minimum.
2. If $D(a,b)=f_{xx}(a,b)f_{yy}(a,b)-[f_{xy}(a,b)]^2 \gt 0$ and $f_{xx}(a,b)\lt 0$ , then $f(a,b)$ is a local maximum.
3. If $D(a,b)=f_{xx}(a,b)f_{yy}(a,b)-[f_{xy}(a,b)]^2 \lt 0$ , then $f(a,b)$ is a not a local minimum or local maximum but a saddle point.
$D(0,-2)=f_{xx}f_{yy}-f^2_{xy}=180 \gt 0$ ; $f_{xx} \gt 0$
So, Local minimum point at $f(2,1)=-30$
For point $(-2,-1)$ :
$D=f_{xx}f_{yy}-f^2_{xy}=180 \implies D=180 \gt 0$ and $f_{xx} \lt 0$
So, Local maximum point at $f(-2,-1)=30$
For point $(0,\sqrt 5)$:
$D=f_{xx}f_{yy}-f^2_{xy}=-180 \implies D=-180 \lt 0$
Thus, Saddle points at $(0,1)$
$D(3,-2)=f_{xx}f_{yy}-f^2_{xy}=-180\implies D=-180 \lt 0$
Therefore, Two Saddle points at $(0,1)$ and $(3,-2)$
; Local minimum point at $f(3,1)=-34$ and Local maximum point at $f(0,-2)=20$
