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(1)

CHAPTER 21

21.1 (a) Analytical solution:

(

1

)

[

0

.

5

]

4

4

0

.

5

2(4)

0

0

.

5

2(0)

3

.

500168

0 2 4 0 2

=

+

=

+

=

− − − −

e

x

dx

x

e

x

e

e

(b) Trapezoidal rule (n = 1):

999329

.

1

2

999665

.

0

0

)

0

4

(

+

=

=

I

%

88

.

42

%

100

500168

.

3

999329

.

1

500168

.

3

×

=

=

t

ε

(c) Trapezoidal rule (n = 2):

%

35

.

15

963033

.

2

4

999665

.

0

)

981684

.

0

(

2

0

)

0

4

(

+

+

=

=

=

t

I

ε

Trapezoidal rule (n = 4):

%

47

.

4

343703

.

3

8

999665

.

0

)

997521

.

0

981684

.

0

864665

.

0

(

2

0

)

0

4

(

+

+

+

+

=

=

=

t

I

ε

(d) Simpson’s 1/3 rule:

%

17

.

6

284268

.

3

6

999665

.

0

)

981684

.

0

(

4

0

)

0

4

(

+

+

=

=

=

t

I

ε

(e) Simpson’s rule (n = 4):

%

84

.

0

470592

.

3

12

999665

.

0

)

981684

.

0

(

2

)

997521

.

0

864665

.

0

(

4

0

)

0

4

(

+

+

+

+

=

=

=

t

I

ε

(f) Simpson’s 3/8 rule:

%

19

.

3

388365

.

3

8

999665

.

0

)

995172

.

0

930517

.

0

(

3

0

)

0

4

(

+

+

+

=

=

=

t

I

ε

(g) Simpson’s rules (n = 5):

(2)

%

41

.

0

485876

.

3

378769

.

2

107107

.

1

8

999665

.

0

)

998338

.

0

99177

.

0

(

3

959238

.

0

)

6

.

1

4

(

6

959238

.

0

)

798103

.

0

(

4

0

)

0

6

.

1

(

=

=

+

=

+

+

+

+

+

+

=

t

I

ε

21.2 (a) Analytical solution:

[

6

3

sin

]

6

(

/2

)

3

sin(

/2

)

0

12

.

42478

)

3cos

(6

0/2 /2 0

+

=

+

=

+

=

π

x

dx

x

x

π

π

π

(b) Trapezoidal rule (n = 1):

78097

.

11

2

6

9

)

0

570796

.

1

(

+

=

=

I

100

%

5

.

182

%

42478

.

12

78097

.

11

42478

.

12

×

=

=

t

ε

(c) Trapezoidal rule (n = 2):

%

254

.

1

26896

.

12

4

6

)

12132

.

8

(

2

9

)

0

570796

.

1

(

+

+

=

=

=

t

I

ε

Trapezoidal rule (n = 4):

%

311

.

0

38613

.

12

8

6

)

14805

.

7

12132

.

8

771639

.

8

(

2

9

)

0

570796

.

1

(

+

+

+

+

=

=

=

t

I

ε

(d) Simpson’s 1/3 rule:

%

055

.

0

43162

.

12

6

6

)

12132

.

8

(

4

9

)

0

570796

.

1

(

+

+

=

=

=

t

I

ε

(e) Simpson’s rule (n = 4):

%

0032

.

0

42518

.

12

12

6

)

12132

.

8

(

2

)

14805

.

7

771639

.

8

(

4

9

)

0

570796

.

1

(

+

+

+

+

=

=

=

t

I

ε

(f) Simpson’s 3/8 rule:

%

024

.

0

42779

.

12

8

6

)

5

.

7

598076

.

8

(

3

9

)

0

570796

.

1

(

+

+

+

=

=

=

t

I

ε

(g) Simpson’s rules (n = 5):

(3)

%

002

.

0

42503

.

12

891665

.

6

533364

.

5

8

6

)

927051

.

6

763356

.

7

(

3

427051

.

8

)

628319

.

0

570796

.

1

(

6

)

0

628319

.

0

(

=

=

+

=

+

+

+

+

+

+

=

t

I

ε

21.3 (a) Analytical solution:

1104

3

2

)

2

4

1

(

4 2 6 4 2 4 2 5 3

=

+

=

+

− −

x

x

x

dx

x

x

x

x

(b) Trapezoidal rule (n = 1):

5280

2

1789

29

))

2

(

4

(

+

=

=

I

100

%

378

.

26

%

1104

5280

1104

=

×

=

t

ε

(c) Trapezoidal rule (n = 2):

%

59

.

138

2634

4

1789

)

2

(

2

29

))

2

(

4

(

+

+

=

=

=

t

I

ε

Trapezoidal rule (n = 4):

%

398

.

37

875

.

1516

8

1789

)

3125

.

131

2

9375

.

1

(

2

29

))

2

(

4

(

+

+

+

=

=

=

t

I

ε

(d) Simpson’s 1/3 rule (n = 2):

%

7

.

58

1752

6

1789

)

2

(

4

29

))

2

(

4

(

+

+

=

=

=

t

I

ε

(e) Simpson’s 3/8 rule:

%

087

.

26

1392

8

1789

)

31

1

(

3

29

))

2

(

4

(

+

+

+

=

=

=

t

I

ε

(f) Boole’s rule (n = 5):

%

0

1104

90

)

1789

(

7

)

3125

.

131

(

32

)

2

(

12

)

9375

.

1

(

32

)

29

(

7

))

2

(

4

(

+

+

+

+

=

=

=

t

I

ε

21.4 Analytical solution:

(4)

33333

.

8

4

4

3

)

2

(

2 1 3 2 1 2

=

+

=

+

x

x

x

dx

/x

x

Trapezoidal rule (n = 1):

9

2

9

9

)

1

2

(

+

=

The results are summarized below:

n

Integral

ε

t

1

9

8%

2

8.513889

2.167%

3

8.415185

0.982%

4

8.379725

0.557%

21.5 Analytical solution:

2056

)

3

4

(

16

1

)

3

4

(

5 3 4 5 3 3

=





=

− −

x

dx

x

Simpson’s rule (n = 4):

%

0

2056

12

4913

)

1

(

2

)

729

343

(

4

3375

))

3

(

5

(

+

+

+

+

=

=

=

t

I

ε

Simpson’s rules (n = 5):

%

0

2056

598

.

5218

6

.

3162

8

4913

)

016

.

1191

088

.

74

(

3

648

.

10

)

2

.

0

5

(

6

648

.

10

)

056

.

636

(

4

3375

))

3

(

2

.

0

(

=

=

+

=

+

+

+

+

+

=

t

I

ε

Because Simpson’s rules are perfect for cubics, both versions yield the exact result for this

cubic polynomial.

21.6 Analytical solution:

[

(

2

2

2

)

]

30

98

.

42768

3 0 2

=

+

=

x

e

x

dx

x

x

e

x

Trapezoidal rule (n = 4):

%

062

.

14

2684

.

112

8

7698

.

180

)

03166

.

48

0838

.

10

190813

.

1

(

2

0

)

0

3

(

+

+

+

+

=

=

=

t

I

ε

Simpson’s rule (n = 4):

(5)

%

046

.

1

45683

.

99

12

7698

.

180

)

0838

.

10

(

2

)

03166

.

48

190813

.

1

(

4

0

)

0

3

(

+

+

+

+

=

=

=

t

I

ε

21.7 Analytical solution:

2301

.

517

14

14

ln

2

1

14

5 . 1 5 . 0 2 1.5 0.5 2

=





=

x

dx

x

(a) Trapezoidal rule (n = 1):

1379

2

2744

14

)

5

.

0

5

.

1

(

+

=

=

I

100

%

166

.

612

%

2301

.

517

1379

2301

.

517

=

×

=

t

ε

(b) Simpson’s 1/3 rule (n = 2):

%

134

.

14

3333

.

590

6

2744

)

196

(

4

14

)

5

.

0

5

.

1

(

+

+

=

=

=

t

I

ε

(c) Simpson’s 3/8 rule:

%

798

.

6

3916

.

552

8

2744

)

3879

.

472

323

.

81

(

3

14

)

5

.

0

5

.

1

(

+

+

+

=

=

=

t

I

ε

(d) Boole’s rule:

%

5397

.

0

0215

.

20

5

90

)

2744

(

7

)

3648

.

733

(

32

)

196

(

12

)

3832

.

52

(

32

)

14

(

7

)

5

.

0

5

.

1

(

+

+

+

+

=

=

=

t

I

ε

(e) Midpoint method:

%

106

.

62

196

196

)

5

.

0

5

.

1

(

=

=

=

t

I

ε

(f) 3-segment-2-point open integration formula:

%

473

.

46

8554

.

276

2

3879

.

472

323

.

81

)

5

.

0

5

.

1

(

+

=

=

=

t

I

ε

(g) 4-segment-3-point open integration formula:

%

355

.

11

4987

.

458

3

)

3648

.

733

(

2

196

)

3832

.

52

(

2

)

5

.

0

5

.

1

(

+

=

=

=

t

I

ε

21.8 Analytical solution:

(

5

3

cos

)

[

5

3

sin

]

30

15

.

42336

3 0

+

=

+

=

x

dx

x

x

(6)

(a) Trapezoidal rule (n = 1):

04503

.

15

2

030023

.

2

8

)

0

3

(

+

=

=

I

100

%

2

.

453

%

42336

.

15

04503

.

15

42336

.

15

=

×

=

t

ε

(b) Simpson’s 1/3 rule (n = 2):

%

104

.

0

43943

.

15

6

030023

.

2

)

212212

.

5

(

4

8

)

0

3

(

+

+

=

=

=

t

I

ε

(c) Simpson’s 3/8 rule:

%

045

.

0

43028

.

15

8

030023

.

2

)

751559

.

3

620907

.

6

(

3

8

)

0

3

(

+

+

+

=

=

=

t

I

ε

(d) Simpson’s rules (n = 5):

%

014

.

0

42126

.

15

62304

.

6

79822

.

8

8

030023

.

2

)

787819

.

2

318394

.

4

(

3

087073

.

6

)

2

.

1

3

(

6

087073

.

6

)

476007

.

7

(

4

8

)

0

2

.

1

(

=

=

+

=

+

+

+

+

+

+

=

t

I

ε

(e) Boole’s rule:

%

0014

.

0

42314

.

15

90

)

030023

.

2

(

7

)

115479

.

3

(

32

)

212212

.

5

(

12

)

195067

.

7

(

32

)

8

(

7

)

0

3

(

=

=

+

+

+

+

=

t

I

ε

(f) Midpoint method:

%

383

.

1

63663

.

15

212212

.

5

)

0

3

(

=

=

=

t

I

ε

(g) 3-segment-2-point open integration formula:

%

877

.

0

5587

.

15

2

751559

.

3

620907

.

6

)

0

3

(

+

=

=

=

t

I

ε

(h) 4-segment-3-point open integration formula:

%

094

.

0

40888

.

15

3

)

115479

.

3

(

2

212212

.

5

)

195067

.

7

(

2

)

0

3

(

+

=

=

=

t

I

ε

21.9 Analytical solution:

(7)

t d d t d d

t

m

gc

c

m

dt

t

m

gc

c

gm

t

z

0 0

tanh

ln

cosh

)

(

=

=

9262

.

333

)

10

(

1

.

68

)

25

.

0

(

8

.

9

cosh

ln

25

.

0

1

.

68

)

10

(

10 0

=

=

z

Thus, the result to 3 significant digits is 334. Here are results for various multiple-segment

trapezoidal rules:

n

I

1

246.9593

2

314.4026

3

325.4835

4

329.216

5

330.9225

6

331.8443

7

332.3984

8

332.7573

9

333.0031

10

333.1788

11

333.3087

12

333.4074

13

333.4842

14

333.5452

Thus, a 14-segment application gives the result to 4 significant digits.

21.10

(a) Trapezoidal rule (n = 5):

15

.

2

10

1

)

5

5

.

3

4

8

(

2

1

)

0

5

.

0

(

+

+

+

+

+

=

=

I

(b) Simpson’s rules (n = 5):

377083

.

2

14375

.

1

233333

.

1

8

1

)

5

5

.

3

(

3

4

)

2

.

0

5

.

0

(

6

4

)

8

(

4

1

)

0

2

.

0

(

+

+

+

+

+

+

=

+

=

=

I

21.11

(a) Trapezoidal rule (n = 6):

65

12

20

)

3

5

2

10

5

(

2

35

))

2

(

10

(

+

+

+

+

+

=

=

I

(8)

(b) Simpson’s rules (n = 6):

66667

.

56

18

20

)

5

10

(

2

)

3

2

5

(

4

35

))

2

(

10

(

+

+

+

+

+

+

=

=

I

21.12 (a) A graph suggests that the mean value is about 80.

y = -0.075x4+ 2x3- 14x2+ 45x - 46 0 50 100 150 200 250 300 0 2 4 6 8 10 12 80

(b) Analytical solution:

[

]

81

.

89333

8

1467

.

655

2

10

015

.

0

5

.

0

6667

.

4

5

.

22

46

2

10

075

.

0

2

14

45

46

10 2 5 4 3 2 10 2 4 3 2

=

=

+

+

=

+

+

x

x

x

x

x

dx

x

x

x

x

(c) Numerical solution:

2292

.

654

046

.

601

18315

.

53

8

254

)

1645

.

156

14368

.

81

(

3

81888

.

35

)

2

.

5

10

(

6

81888

.

35

)

27488

.

15

(

4

8

.

2

)

2

2

.

5

(

=

+

=

+

+

+

+

+

+

=

I

%

14

.

0

%

100

89333

.

81

81.77865

89333

.

81

81.77865

2

10

2292

.

654

Average

=

×

=

=

=

t

ε

21.13 (a) Analytical solution:

[

1

.

33333

]

0

.

54209

(

1

.

33333

)

0

.

79124

2

1.5 00.6 0.6 0 5 . 1

=

=

=

e

x

dx

e

x

(b) Trapezoidal rule

(9)

79284

.

0

2

8131

.

0

9808

.

0

)

475

.

0

6

.

0

(

2

9808

.

0

1831

.

1

)

35

.

0

475

.

0

(

2

1831

.

1

3746

.

1

)

25

.

0

35

.

0

(

2

3746

.

1

597

.

1

)

15

.

0

25

.

0

(

2

597

.

1

8555

.

1

)

05

.

0

15

.

0

(

2

8555

.

1

2

)

0

05

.

0

(

=

+

+

+

+

+

+

+

+

+

+

+

=

I

%

2022

.

0

%

100

79124

.

0

79284

.

0

79124

.

0

×

=

=

t

ε

(c) Trapezoidal/Simpson’s rules

791282

.

0

6

8131

.

0

)

9808

.

0

(

4

1831

.

1

)

35

.

0

6

.

0

(

8

1831

.

1

)

3746

.

1

597

.

1

(

3

8555

.

1

)

05

.

0

35

.

0

(

2

8555

.

1

2

)

0

05

.

0

(

=

+

+

+

+

+

+

+

+

=

I

%

0052

.

0

%

100

79124

.

0

791282

.

0

79124

.

0

×

=

=

t

ε

21.14 (a) Analytical solution:

dy

x

y

x

y

x

dy

dx

xy

y

x

2

2

3

)

2

(

2 0 1 1 2 3 2 3 1 1 2 0 3 2 2

∫ ∫

− −

+

=

+

666667

.

2

2

1

3

4

3

8

2

4

3

8

1 1 4 3 1 1 3 2

=





+

=

+

=

− −

y

y

dy

y

y

y

(b) Sweeping across the x dimension:

y = –1:

3

4

0

)

2

(

2

2

)

0

2

(

+

+

=

=

I

y = 0:

3

4

4

)

1

(

2

0

)

0

2

(

+

+

=

=

I

y = 1:

1

4

4

)

0

(

2

2

)

0

2

(

+

+

=

=

I

(10)

2

4

1

)

3

(

2

3

))

1

(

1

(

+

+

=

=

I

%

25

%

100

666667

.

2

2

666667

.

2

×

=

=

t

ε

(c) Sweeping across the x dimension:

y = –1:

33333

.

3

6

0

)

2

(

4

2

)

0

2

(

+

+

=

=

I

y = 0:

666667

.

2

6

4

)

1

(

4

0

)

0

2

(

+

+

=

=

I

y = 1:

666667

.

0

6

4

)

0

(

4

2

)

0

2

(

+

+

=

=

I

These values can then be integrated along the y dimension:

%

0

666667

.

2

6

666667

.

0

)

666667

.

2

(

4

33333

.

3

))

1

(

1

(

+

+

=

=

=

t

I

ε

21.15 (a) Analytical solution:

dz

dy

yzx

x

dz

dy

dx

yz

x

3

4

)

3

(

1 3 4 2 2 2 0 2 2 2 0 1 3 3 − − − −

=

∫ ∫

∫ ∫ ∫

[

y

y

z

]

dz

z

dz

dz

dy

yz

20

6

40

24

12

20

2 2 2 0 2 2 2 2 2 2 0

=

=

=

∫ ∫

− − −

[

40

12

2

]

22

=

160

=

z

z

(b) For z = –2, sweeping across the x dimension:

z = –2;

y

= 0:

20

6

1

)

1

(

4

27

))

3

(

1

(

+

+

=

=

I

z = –2;

y

= 1:

4

6

7

)

5

(

4

21

))

3

(

1

(

+

+

=

=

I

z = –2;

y

= 2:

28

6

13

)

11

(

4

15

))

3

(

1

(

+

+

=

=

I

(11)

8

6

28

)

4

(

4

20

)

0

2

(

+

+

=

=

I

For z = 0, similar calculations yield

z = 0;

y

= 0:

I = –20

z = 0;

y

= 1:

I = –20

z = 0;

y

= 2:

I = –20

These values can then be integrated along the y dimension:

40

6

20

)

20

(

4

20

)

0

2

(

+

=

=

I

For z = 2, similar calculations yield

z = 2;

y

= 0:

I = –20

z = 2;

y

= 1:

I = –44

z = 2;

y

= 2:

I = –68

These values can then be integrated along the y dimension:

88

6

68

)

44

(

4

20

)

0

2

(

+

=

=

I

Finally, these results can be integrated along the z dimension,

%

0

160

6

88

)

40

(

4

8

))

2

(

2

(

+

=

t

=

=

ε

I

21.16 Here is a VBA program that is set up to duplicate the computation performed in Example

21.2.

Option Explicit Sub TestTrapm()

Dim n As Integer, i As Integer

Dim a As Double, b As Double, h As Double Dim x(100) As Double, f(100) As Double 'Enter data and integration parameters a = 0

b = 0.8 n = 2

h = (b - a) / n

'generate data from function x(0) = a

f(0) = fx(a) For i = 1 To n

x(i) = x(i - 1) + h f(i) = fx(x(i))

(12)

Next i

'invoke function to determine and display integral MsgBox "The integral is " & Trapm(h, n, f)

End Sub

Function Trapm(h, n, f)

Dim i As Integer, sum As Double sum = f(0)

For i = 1 To n - 1 sum = sum + 2 * f(i) Next i sum = sum + f(n) Trapm = h * sum / 2 End Function Function fx(x) fx = 0.2 + 25 * x - 200 * x ^ 2 + 675 * x ^ 3 - 900 * x ^ 4 + 400 * x ^ 5 End Function

21.17 Here is a VBA program that is set up to duplicate the computation performed in Example

21.5.

Option Explicit Sub TestSimpm()

Dim n As Integer, i As Integer

Dim a As Double, b As Double, h As Double Dim x(100) As Double, f(100) As Double 'Enter data and integration parameters a = 0

b = 0.8 n = 4

h = (b - a) / n

'generate data from function x(0) = a f(0) = fx(a) For i = 1 To n x(i) = x(i - 1) + h f(i) = fx(x(i)) Next i

'invoke function to determine and display integral MsgBox "The integral is " & Simp13m(h, n, f) End Sub

Function Simp13m(h, n, f) Dim i As Integer

Dim sum As Double sum = f(0)

For i = 1 To n - 2 Step 2

sum = sum + 4 * f(i) + 2 * f(i + 1) Next i sum = sum + 4 * f(n - 1) + f(n) Simp13m = h * sum / 3 End Function Function fx(x) fx = 0.2 + 25 * x - 200 * x ^ 2 + 675 * x ^ 3 - 900 * x ^ 4 + 400 * x ^ 5 End Function

(13)

21.8.

Option Explicit Sub TestUneven()

Dim n As Integer, i As Integer Dim label As String

Dim a As Double, b As Double, h As Double Dim x(100) As Double, f(100) As Double 'Enter data Sheets("Sheet1").Select Range("a6").Select n = ActiveCell.Row Selection.End(xlDown).Select n = ActiveCell.Row - n 'Input data from sheet Range("a6").Select For i = 0 To n x(i) = ActiveCell.Value ActiveCell.Offset(0, 1).Select f(i) = ActiveCell.Value ActiveCell.Offset(1, -1).Select Next i

'invoke function to determine and display integral MsgBox "The integral is " & Uneven(n, x, f)

End Sub

Function Uneven(n, x, f) Dim k As Integer, j As Integer

Dim h As Double, sum As Double, hf As Double h = x(1) - x(0) k = 1 sum = 0# For j = 1 To n hf = x(j + 1) - x(j) If Abs(h - hf) < 0.000001 Then If k = 3 Then

sum = sum + Simp13(h, f(j - 3), f(j - 2), f(j - 1)) k = k - 1 Else k = k + 1 End If Else If k = 1 Then

sum = sum + Trap(h, f(j - 1), f(j)) Else

If k = 2 Then

sum = sum + Simp13(h, f(j - 2), f(j - 1), f(j)) Else

sum = sum + Simp38(h, f(j - 3), f(j - 2), f(j - 1), f(j)) End If k = 1 End If End If h = hf Next j Uneven = sum End Function Function Trap(h, f0, f1)

(14)

Trap = h * (f0 + f1) / 2 End Function Function Simp13(h, f0, f1, f2) Simp13 = 2 * h * (f0 + 4 * f1 + f2) / 6 End Function Function Simp38(h, f0, f1, f2, f3) Simp38 = 3 * h * (f0 + 3 * (f1 + f2) + f3) / 8 End Function Function fx(x) fx = 0.2 + 25 * x - 200 * x ^ 2 + 675 * x ^ 3 - 900 * x ^ 4 + 400 * x ^ 5 End Function

To run the program, the data is entered in columns A and B on a worksheet labeled Sheet1.

After the macro is run, a message box displays the integral estimate as shown.

21.19 (a) Analytical solution:

[

5

0.083333

]

165

.

9167

0.25

5

3 110 11 0 2

=

+

=

+

=

x

dx

x

x

M

(b) Trapezoidal rule:

375

.

166

2

6

25

.

5

)

1

2

(

2

25

.

5

5

)

0

1

(

+

+

+

+

=

=

I

(c) Simpson’s rule:

9167

.

165

6

9

)

25

.

7

(

4

6

)

2

4

(

6

6

)

25

.

5

(

4

5

)

0

2

(

+

+

+

+

+

+

=

=

I

21.20 Trapezoidal/Simpsons rules

(15)

192

.

2681

2

6

.

165

6

.

193

)

10

11

(

8

6

.

193

)

6

.

249

5

.

260

(

3

8

.

260

)

4

10

(

6

)

2

4

(

2

)

5

.

0

2

(

=

+

+

+

+

+

+

+

+

+

+

=

I

21.21 (a) Trapezoidal rule

m

5

.

622

,

3

min

s

60

s

min

m

375

.

60

2

5

.

5

6

)

2

25

.

3

(

2

6

5

)

1

2

(

+

+

+

+

=

×

=

=

I

(b) Trapezoidal/Simpsons rules

m

25

.

596

,

3

min

s

60

s

min

m

9375

.

59

6

5

)

7

(

4

7

)

9

10

(

8

7

)

6

8

(

3

5

.

8

)

6

9

(

2

5

.

8

7

)

5

.

4

6

(

6

7

)

5

.

5

(

4

6

)

2

5

.

4

(

2

6

5

)

1

2

(

=

×

=

+

+

+

+

+

+

+

+

+

+

+

+

+

=

I

(c) We can use regression to fit a quadratic equation to the data

y = -0.1117x

2

+ 1.3526x + 3.4447

R

2

= 0.5742

0

5

10

0

2

4

6

8

10

12

This equation can be integrated to yield

[

]

m

594

.

645

,

3

min

s

60

s

min

m

7599

.

60

3.4447

+

0.6763

+

03723

.

0

3.4447

+

1.3526

+

0.1117

3 2 101 10 1 2

=

×

=

=

=

x

x

dx

x

x

x

M

We can use regression to fit a cubic equation to the data

y = -0.01646x

3

+ 0.16253x

2

+ 0.07881x + 4.85467

R

2

= 0.63442

0

5

10

0

2

4

6

8

10

12

(16)

This equation can be integrated to yield

[

]

m

184

.

634

,

3

min

s

60

s

min

m

56973

.

60

4.85467

+

0.039405

+

0.054177

+

00412

.

0

4.85467

0.07881x

+

0.16253

+

0.01646

10 1 2 3 4 10 1 2 3

=

×

=

=

+

=

x

x

x

x

dx

x

x

M

21.22 We can set up a table that contains the values comprising the integrand

x, cm

ρ

, g/cm

3

A

c

, cm

2

ρ×

A

c

,

g/cm

0

4

100

400

200

3.95

103

406.85

300

3.89

106

412.34

400

3.8

110

418

600

3.6

120

432

800

3.41

133

453.53

1000

3.3

150

495

We can integrate this data using a combination of the trapezoidal and Simpson’s rules,

kg

430.8779

g

9

.

877

,

430

8

495

)

53

.

453

432

(

3

418

)

400

1000

(

6

418

)

34

.

412

(

4

85

.

406

)

200

400

(

2

85

.

406

400

)

0

200

(

=

=

+

+

+

+

+

+

+

+

=

I

21.23 We can set up a table that contains the values comprising the integrand

t, hr

t, d

(cars/4 min)

rate

(cars/d)

rate

7:30

0.312500

18

6480

7:45

0.322917

24

8640

8:00

0.333333

14

5040

8:15

0.343750

24

8640

8:45

0.364583

21

7560

9:15

0.385417

9

3240

We can integrate this data using a combination of Simpson’s 3/8 and 1/3 rules. This yields the

number of cars that go through the intersection between 7:30 and 9:15,

(17)

cars

511.875

292.5

219.375

6

3240

)

7560

(

4

8640

)

34375

.

0

385417

.

0

(

8

)

3125

.

0

34375

.

0

(

=

+

=

+

+

+

+

+

+

=

I

The number of cars going through the intersection per minute can be computed as

min

cars

875

.

4

min

60

hr

hr

1.75

cars

511.875

=

21.24 We can use Simpson’s 1/3 rule to integrate across the y dimension,

x = 0:

3333

.

17

6

8

)

4

(

4

2

)

0

4

(

+

=

=

I

x = 4:

14

6

8

)

3

(

4

1

)

0

4

(

+

=

=

I

x = 8:

3333

.

1

6

6

)

1

(

4

4

)

0

4

(

+

=

=

I

x = 12:

28

6

4

)

7

(

4

10

)

0

4

(

+

+

=

=

I

These values can then be integrated along the x dimension with Simpson’s 3/8 rule:

41

8

28

)

3333

.

1

14

(

3

3333

.

17

)

0

12

(

+

+

+

=

=

I

References

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