\
Step 1:
\Method of Lagrange Multipliers :
\To find the minimum or maximum values of
subject to the constraint
.
(a). Find all values of x, y, z and
such that
and
.
(b). Evaluate f at all points that results from step (a). The largest of these values is the maximum value of f, the smallest is the minimum value of f.
\Step 2 :
\The function is
.
The constraint is
.
Consider 
Find the gradient
:

Find the gradient
:
Step 3 :
\Write the system of equations :
\



Multiply equation (1) by x :
\
Multiply equation (2) by y :
\
Multiply equation (3) by z :
\
Step 4 :
\Equate equation (4) and equation (5) :
\
Equate equation (5) and equation (6) :
\
Substitute
and
in the constraint
.

Substitute
in
.

Substitute
in
.

The points are
and
.
Step 5 :
\Substitute the point
in the function
.

Substitute the point
in the function
.

The minimum value is 
The maximum value is
Solution :
\The minimum value is 
The maximum value is 
\
\
Step 1:
\Method of Lagrange Multipliers :
\To find the minimum or maximum values of
subject to the constraint
.
(a). Find all values of x, y, z and
such that
and
.
(b). Evaluate f at all points that results from step (a). The largest of these values is the maximum value of f, the smallest is the minimum value of f.
\Step 2 :
\The function is
.
The constraint is
.
Consider 
Find the gradient
:

Find the gradient
:

Step 3 :
\Write the system of equations :
\



Multiply equation (1) by x :
\
Multiply equation (2) by y :
\
Multiply equation (3) by z :
\
Step 4 :
\Equate equation (4) and equation (5) :
\
Equate equation (5) and equation (6) :
\
Substitute
and
in the constraint
.

Substitute
in
.

Substitute
in
.

The points are
and
.
Step 5 :
\Substitute the point
in the function
.

Substitute the point
in the function
.

The minimum value is 
The maximum value is
Solution :
\The minimum value is 
The maximum value is 
\