Calculus 220: Optimization Problems and Applications - Prof. Timothy John Pilachowski, Study notes of Calculus

This document by tim pilachowski provides solutions to optimization problems in calculus 220, including examples on finding maximum and minimum heights of objects, spread of an epidemic, and fuel efficiency of a truck. Students will learn how to calculate height, velocity, and average velocity, as well as determine the domain of a function and the number of infected people.

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Pre 2010

Uploaded on 02/13/2009

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Calculus 220, section 2.5 Optimization Problems (Applications)
notes by Tim Pilachowski
Oh boy—now we get to start on word problems! First, a definition: optimize – (verb) to make as perfect or
effective as possible. In calculus terms, for anything optimal, we will be searching for some sort of maximum or
minimum.
Example A: The function calculates the height of an object, s, after time, t, thrown
upward at 10 feet per second from a bridge which is 240 feet above the river below. In section 1.8 lecture notes
we asked:
()
2401016 2++= ttts
a) What is the height of the rock after 2 seconds? answer: Find
(
)
1962
=
s feet.
b) How much height did the rock gain after 2 seconds? answer: Calculate
(
)
(
)
=
02 ss loss of 44 feet of height.
c) What is the velocity of the rock after 2 seconds? answer: Find
(
)
=
2sthe rock is falling at 54 feet per second.
d) What is the average velocity during the first 2 seconds? answer Find
(
)
(
)
=
02
02 ss on average the rock has
fallen at 22 feet per second.
New questions:
e) How long does it take for the rock to reach its maximum height? Answer: 16
5 sec.
f) What is the maximum height above the water reached by the rock? Answer: 16
5
241 feet
g) What is the maximum height above the bridge reached by the rock? Answer: 16
5
1 feet
pf3

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Calculus 220, section 2.5 Optimization Problems (Applications)

notes by Tim Pilachowski

Oh boy—now we get to start on word problems! First, a definition: optimize – (verb) to make as perfect or effective as possible. In calculus terms, for anything optimal, we will be searching for some sort of maximum or minimum.

Example A: The function calculates the height of an object, s , after time, t , thrown

upward at 10 feet per second from a bridge which is 240 feet above the river below. In section 1.8 lecture notes we asked:

s ( ) t = − 16 t 2 + 10 t + 240

a) What is the height of the rock after 2 seconds? answer: Find s ( 2 ) = 196 feet.

b) How much height did the rock gain after 2 seconds? answer: Calculate s ( 2 ) − s ( 0 ) =loss of 44 feet of height.

c) What is the velocity of the rock after 2 seconds? answer: Find s ′^ ( 2 ) =the rock is falling at 54 feet per second.

d) What is the average velocity during the first 2 seconds? answer Find

s 2 s 0 on average the rock has

fallen at 22 feet per second.

New questions:

e) How long does it take for the rock to reach its maximum height? Answer : 165 sec.

f) What is the maximum height above the water reached by the rock? Answer : 16 241 5 feet

g) What is the maximum height above the bridge reached by the rock? Answer : 16 1 5 feet

Example B: Public health officials use rates of change to quantify the spread of an epidemic into an equation, which they then use to determine the most effective measures to counter it. A recent measles epidemic followed

the equation y = 45 t^2 − t^3 where y = the number of people infected and t = time in days.

a) What is the domain of this function? Answer : 0 ≤ t ≤ 45 days

b) How many people are infected after 5 days? Answer : 1000 people

c) What is the rate of spread after 5 days? Answer : 375 new cases per day

d) After how many days does the number of cases reach its maximum? Answer : 30 days

e) Use the above to sketch the graph of y.