This document provides solutions to three optimization problems involving rectangular advertisements or windows.
The first problem minimizes the total area of an advertisement given a fixed printed area, finding the dimensions are a 4.6 inch square printed region within a 6.6 by 6.6 inch advertisement.
The second problem maximizes the printed area of an advertisement given a fixed total area of 120 square inches, determining the optimal dimensions are a 4.5 by 6.5 inch advertisement.
The third problem maximizes the area of a window with a semicircular top and rectangular body given a fixed amount of trim, concluding the optimal dimensions are a 2 by 4 inch rectangle beneath a semicircle.
Streamlining assessment, feedback, and archival with auto-multiple-choiceMatthew Leingang
Auto-multiple-choice (AMC) is an open-source optical mark recognition software package built with Perl, LaTeX, XML, and sqlite. I use it for all my in-class quizzes and exams. Unique papers are created for each student, fixed-response items are scored automatically, and free-response problems, after manual scoring, have marks recorded in the same process. In the first part of the talk I will discuss AMC’s many features and why I feel it’s ideal for a mathematics course. My contributions to the AMC workflow include some scripts designed to automate the process of returning scored papers
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Integration by substitution is the chain rule in reverse.
NOTE: the final location is section specific. Section 1 (morning) is in SILV 703, Section 11 (afternoon) is in CANT 200
Streamlining assessment, feedback, and archival with auto-multiple-choiceMatthew Leingang
Auto-multiple-choice (AMC) is an open-source optical mark recognition software package built with Perl, LaTeX, XML, and sqlite. I use it for all my in-class quizzes and exams. Unique papers are created for each student, fixed-response items are scored automatically, and free-response problems, after manual scoring, have marks recorded in the same process. In the first part of the talk I will discuss AMC’s many features and why I feel it’s ideal for a mathematics course. My contributions to the AMC workflow include some scripts designed to automate the process of returning scored papers
back to students electronically. AMC provides an email gateway, but I have written programs to return graded papers via the DAV protocol to student’s dropboxes on our (Sakai) learning management systems. I will also show how graded papers can be archived, with appropriate metadata tags, into an Evernote notebook.
Integration by substitution is the chain rule in reverse.
NOTE: the final location is section specific. Section 1 (morning) is in SILV 703, Section 11 (afternoon) is in CANT 200
Lesson 24: Areas and Distances, The Definite Integral (handout)Matthew Leingang
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At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
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Lesson 24: Areas and Distances, The Definite Integral (handout)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
Lesson 24: Areas and Distances, The Definite Integral (slides)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
Uncountably many problems in life and nature can be expressed in terms of an optimization principle. We look at the process and find a few good examples.
Uncountably many problems in life and nature can be expressed in terms of an optimization principle. We look at the process and find a few good examples.
The Mean Value Theorem is the most important theorem in calculus. It is the first theorem which allows us to infer information about a function from information about its derivative. From the MVT we can derive tests for the monotonicity (increase or decrease) and concavity of a function.
There are various reasons why we would want to find the extreme (maximum and minimum values) of a function. Fermat's Theorem tells us we can find local extreme points by looking at critical points. This process is known as the Closed Interval Method.
There are various reasons why we would want to find the extreme (maximum and minimum values) of a function. Fermat's Theorem tells us we can find local extreme points by looking at critical points. This process is known as the Closed Interval Method.
We cover the inverses to the trigonometric functions sine, cosine, tangent, cotangent, secant, cosecant, and their derivatives. The remarkable fact is that although these functions and their inverses are transcendental (complicated) functions, the derivatives are algebraic functions. Also, we meet my all-time favorite function: arctan.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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1. Solutions to Worksheet for Section 4.5
Optimization Problems
V63.0121, Calculus I
Summer 2010
1. An advertisement consists of a rectangular printed region plus 1 in margins on the sides and
2 in margins on the top and bottom. If the area of the printed region is to be 92 in2 , find the
dimensions of the printed region and overall advertisement that minimize the total area.
Solution. The objective is to minimize the total area while the printed area is fixed.
2 cm
Lorem ipsum dolor
sit amet, consectetur
adipisicing elit, sed
do eiusmod tempor
incididunt ut labore
et dolore magna
aliqua. Ut enim ad
minim veniam, quis
1 cm
1 cm
y
nostrud exercitation
ullamco laboris nisi
ut aliquip ex ea
commodo consequat.
Duis aute irure dolor
in reprehenderit in
voluptate velit esse
cillum dolore eu
2 cm
x
Let the dimensions of the printed region be x and y; then the printed area is P = xy ≡ 92
while the total area is A = (x + 2)(y + 4). From the P equation we can isolate y = 92/x and
substitute it into the A equation to get
92 FOIL 184 184
A(x) = (x + 2) +4 = 92 + 4x + + 8 = 100 + 4x +
x x x
1
2. The domain of A is (0, ∞).
We want to find the absolute minimum value of A. Taking derivatives,
dA 184
=4− 2
dx x
dA √
The equation = 0 gives a single critical point when x = 46 (the other possible one at
√ dx
− 46 is outside the domain). Taking another derivative,
d2 A 368
= 3
dx2 x
√
which is positive along the entire domain of A. So the single local minimum at x =√ 46 is in
fact the global minimum. Therefore, the dimensions of the printed region are x = 46 in by
92 √ √ √
y = √ = 2 46 in. The dimensions of the paper are 46 + 2 in × 2 46 + 4 in.
46
2. An advertisement consists of a rectangular printed region plus 1 in margins on the sides and
1.5 in margins on the top and bottom. If the total area of the advertisement is to be 120 in2 ,
what dimensions should the advertisement be to maximize the area of the printed region?
Solution. Using the notation of the previous problem, the objective is to maximize P while
keeping A fixed.
2 cm
Lorem ipsum dolor
sit amet, consectetur
adipisicing elit, sed do
eiusmod tempor inci-
didunt ut labore et
dolore magna aliqua.
1 cm
1 cm
y
Ut enim ad minim ve-
niam, quis nostrud ex-
ercitation ullamco la-
boris nisi ut aliquip
ex ea commodo conse-
quat. Duis aute irure
2 cm
x
120
In this problem, P = xy, but A = (x + 2)(y + 3). Isolating y in A ≡ 120 gives y = −3
x+2
which yields
120 120x
P =x −3 = − 3x
x+2 x+2
2
3. The domain of P is again (0, ∞).
We want to find the absolute maximum value of P . Taking derivatives,
dP (x + 2)(120) − (120x)(1) 240 − 3(x + 2)2
= 2
−3=
dx (x + 2) (x + 2)2
There is a single critical point when
√
(x + 2)2 = 80 =⇒ x = 4 5 − 2
(again, the negative critical point doesn’t count). The second derivative is
d2 P −480
2
=
dx (x + 2)3
√
which is negative all along the domain of P . Hence the unique critical point x = 4 5 − 2 cm
√
is the absolute maximum of P . This means the paper width is 4 5 cm, and the paper length
120 √
is √ = 6 5 cm.
4 5
Here’s another way to do it: Let X and Y be the width and height of the advertisement.
Then we need to maximize P = (X − 2)(Y − 3) subject to the constraint that A = XY ≡ 120.
Substituting Y = 120/X into P gives
120 240
P = (X − 2) −3 = 126 − − 3X
X X
and we need to find the maximum value of P over (0, ∞).
3. A Norman window has the outline of a semicircle on top of a rectangle. Suppose there is
8 + 2π feet of wood trim available. Find the dimensions of the rectangle and semicircle that
will maximize the area of the window.
Solution. Let h and w be the height and width of the window. We have
π
L = 2h + w + w
2
π w 2
A = wh +
2 2
3
4. If L is fixed to be 8 + 2π, we have
16 + 4π − 2w − πw
h= ,
4
so
w π 1 π
A= (16 + 4π − 2w − πw) + w2 = (π + 4)w − + w2 .
4 8 2 8
π
So A = (π + 4)w − 1 + , which is zero when
4
π+4
w= = 4 ft.
1+ π
2
The dimensions are 4ft by 2ft.
Here’s another way to do it: We differentiate the L equation implicitly, keeping in mind it is
equal to a fixed constant:
dh π dh 1 + π/2 π+2
0=2 + 1+ =⇒ =− =− .
dw 2 dw 2 4
Now differentiate A treating h as a function of w:
dA dh π π+2 π w
=h+w + w =h−w + w =h−
dw dw 4 4 4 2
dA
So = 0 when w = 2h, and this is true regardless of what L is fixed to be.
dw
In our case, the relation w = 2h allows to solve L = 8 + 2π for h:
8 + 2π = 2h + (1 + π/2) (2h) = (4 + π)h
So h = 2 and w = 4.
4