Finding an optimal value of a function in the most simple cases usually means finding a maximum or minimum value. For example, consider a container in the shape of a right circular cylinder with no top has surface area 3 π m2. What height h and base radius r will maximize the volume of the cylinder?
Let r be the radius of the circular base and h be the height of the cylinder. Both r & h are in metres.
The total surface area of the cylinder with an open top is
so that height can be written as |
We want to maximize the total volume of the cylinder
but before we differentiate, we can reduce the number of variables by substituting in our expression for h in terms of r
Now differentiate this equation, we get
Looking at the graph of radius versus volume
we can see that the maximum and minimum occur when
so then
Since variable r measures a distance then r > 0 so the only possible value is . Using our known radius, it follows that and then the maximum volume is .
More generally, optimization problems means finding the best possible solution that fits all the necessary criteria. Equations needed
in solving for optimizing the radius of a pipe that cools concrete like
are difficult and time consuming to solve without the use of a computer with programs like MATLAB, Maple or Mathematica .
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