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Applications of Differentiation 
Copyright © Cengage Learning. All rights reserved.
Optimization Problems 
Copyright © Cengage Learning. All rights reserved.
3 
Objective 
 Solve applied minimum and maximum problems.
4 
Applied Minimum and Maximum 
Problems
5 
Applied Minimum and Maximum Problems 
One of the most common applications of calculus involves 
the determination of minimum and maximum values.
Example 1 – Finding Maximum Volume 
6 
A manufacturer wants to design an open box having a 
square base and a surface area of 108 square inches, as 
shown in Figure 3.53. What dimensions will produce a box 
with maximum volume? 
Figure 3.53
7 
Example 1 – Solution 
Because the box has a square base, its volume is 
V = x2h. Primary equation 
This equation is called the primary equation because it 
gives a formula for the quantity to be optimized. 
The surface area of the box is 
S = (area of base) + (area of four sides) 
S = x2 + 4xh = 108. Secondary equation
8 
Because V is to be maximized, you want to write V as a 
function of just one variable. 
To do this, you can solve the equation x2 + 4xh = 108 for h 
in terms of x to obtain h = (108 – x2)/(4x). 
Substituting into the primary equation produces 
cont’d 
Example 1 – Solution
9 
Before finding which x-value will yield a maximum value of 
V, you should determine the feasible domain. 
That is, what values of x make sense in this problem? 
You know that V ≥ 0. You also know that x must be 
nonnegative and that the area of the base (A = x2) is at 
most 108. 
So, the feasible domain is 
cont’d 
Example 1 – Solution
cont’d 
10 
Example 1 – Solution 
To maximize V, find the critical numbers of the volume 
function on the interval 
So, the critical numbers are x = ±6. 
You do not need to consider x = –6 because it is outside the 
domain.
cont’d 
Evaluating V at the critical number x = 6 and at the endpoints 
of the domain produces V(0) = 0, V(6) = 108, and 
So, V is maximum when x = 6 and the dimensions of the box 
are 6 х 6 х 3 inches. 
11 
Example 1 – Solution
12 
Applied Minimum and Maximum Problems
13 
Example 2 – Finding Minimum Distance 
Which points on the graph of y = 4 – x2 are closest to the 
point (0, 2) ? 
Solution: 
Figure 3.55 shows that there are two 
points at a minimum distance from the 
point (0, 2). 
The distance between the point (0, 2) and 
a point (x, y) on the graph of y = 4 – x2 is 
given by Figure 3.55
14 
Example 2 – Solution 
Using the secondary equation y = 4 – x2, you can rewrite 
the primary equation as 
Because d is smallest when the expression inside the 
radical is smallest, you need only find the critical numbers 
of f(x) = x4 – 3x2 + 4. 
Note that the domain of f is the entire real line. 
So, there are no endpoints of the domain to consider. 
cont’d
15 
Moreover, setting f'(x) equal to 0 yields 
The First Derivative Test verifies that x = 0 yields a relative 
maximum, whereas both yield a 
minimum distance. 
So, the closest points are 
cont’d 
Example 2 – Solution

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Lar calc10 ch03_sec7

  • 1. Applications of Differentiation Copyright © Cengage Learning. All rights reserved.
  • 2. Optimization Problems Copyright © Cengage Learning. All rights reserved.
  • 3. 3 Objective  Solve applied minimum and maximum problems.
  • 4. 4 Applied Minimum and Maximum Problems
  • 5. 5 Applied Minimum and Maximum Problems One of the most common applications of calculus involves the determination of minimum and maximum values.
  • 6. Example 1 – Finding Maximum Volume 6 A manufacturer wants to design an open box having a square base and a surface area of 108 square inches, as shown in Figure 3.53. What dimensions will produce a box with maximum volume? Figure 3.53
  • 7. 7 Example 1 – Solution Because the box has a square base, its volume is V = x2h. Primary equation This equation is called the primary equation because it gives a formula for the quantity to be optimized. The surface area of the box is S = (area of base) + (area of four sides) S = x2 + 4xh = 108. Secondary equation
  • 8. 8 Because V is to be maximized, you want to write V as a function of just one variable. To do this, you can solve the equation x2 + 4xh = 108 for h in terms of x to obtain h = (108 – x2)/(4x). Substituting into the primary equation produces cont’d Example 1 – Solution
  • 9. 9 Before finding which x-value will yield a maximum value of V, you should determine the feasible domain. That is, what values of x make sense in this problem? You know that V ≥ 0. You also know that x must be nonnegative and that the area of the base (A = x2) is at most 108. So, the feasible domain is cont’d Example 1 – Solution
  • 10. cont’d 10 Example 1 – Solution To maximize V, find the critical numbers of the volume function on the interval So, the critical numbers are x = ±6. You do not need to consider x = –6 because it is outside the domain.
  • 11. cont’d Evaluating V at the critical number x = 6 and at the endpoints of the domain produces V(0) = 0, V(6) = 108, and So, V is maximum when x = 6 and the dimensions of the box are 6 х 6 х 3 inches. 11 Example 1 – Solution
  • 12. 12 Applied Minimum and Maximum Problems
  • 13. 13 Example 2 – Finding Minimum Distance Which points on the graph of y = 4 – x2 are closest to the point (0, 2) ? Solution: Figure 3.55 shows that there are two points at a minimum distance from the point (0, 2). The distance between the point (0, 2) and a point (x, y) on the graph of y = 4 – x2 is given by Figure 3.55
  • 14. 14 Example 2 – Solution Using the secondary equation y = 4 – x2, you can rewrite the primary equation as Because d is smallest when the expression inside the radical is smallest, you need only find the critical numbers of f(x) = x4 – 3x2 + 4. Note that the domain of f is the entire real line. So, there are no endpoints of the domain to consider. cont’d
  • 15. 15 Moreover, setting f'(x) equal to 0 yields The First Derivative Test verifies that x = 0 yields a relative maximum, whereas both yield a minimum distance. So, the closest points are cont’d Example 2 – Solution