EBK NUMERICAL METHODS FOR ENGINEERS
EBK NUMERICAL METHODS FOR ENGINEERS
7th Edition
ISBN: 8220100254147
Author: Chapra
Publisher: MCG
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Textbook Question
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Chapter 5, Problem 4P

Determine the roots of f ( x ) = 12 21 x + 18 x 2 2.75 x 3 graphically. In addition, determine the first root of the function with (b) bisection, and (c) false position. For (b) and (c) use initial guesses of x l = 1 and  x u = 0 , and a stopping criterion of 1%.

(a)

Expert Solution
Check Mark
To determine

To calculate: The real roots of the equation f(x)=2.75x3+18x221x12 using the graphical method.

Answer to Problem 4P

Solution: Graphically, the real roots of the equation are approximated as 0.4, 2.2, and 4.8.

Explanation of Solution

Given Information: The equation f(x)=25+82x90x2+44x38x4+0.7x5.

Formula used: The roots of an equation can be represented graphically by the x-coordinate of the point where the graph intercepts the x-axis.

Calculation:

Use the following MATLAB code to plot the function f(x) with respect to independent variable x as,

% (a)

clear;clc;

% define the vector x

x = linspace(-1,5);

% define the function f(x)

y1 = -2.75*x.^3+18*x.^2-21*x-12;

y2 = 0;

% plot f(x)

plot(x, y1);

xlabel('x')

ylabel('f(x)')

grid on

hold on

line([-1,5],[y2, y2])

Execute the above code to obtain the plot as,

EBK NUMERICAL METHODS FOR ENGINEERS, Chapter 5, Problem 4P

From the plot, the zeros of the equation are approximated as 0.4, 2.2 and 4.8.

(b)

Expert Solution
Check Mark
To determine

To calculate: The root of the equation f(x)=2.75x3+18x221x12 using the bisection method with xl and xu as 1 and 0, respectively, and with the stopping criteria being the iteration where εa falls below 1%.

Answer to Problem 4P

Solution: The root of the equation is approximated as 0.41797.

Explanation of Solution

Given Information: The function equation is f(x)=2.75x3+18x221x12.

Initial guesses are,

xl=1xu=0

Formula used: A root of an equation can be obtained using the bisection method as follows:

1. Choose two values of x, say a and b such that f(a)f(b)<0.

2. Estimate the root by x1=a+b2.

3. If, f(a)f(x1)<0, the root would lie between a and x1. Next, assume the next root to be x2=a+x12. If, f(a)f(x1)>0, the root would lie between b and x1. Now assume the next root to be x2=b+x12, and if f(a)f(x1)=0, the root is x1.

Calculation:

For the function f(x):

f(1)=2.75(1)3+18(1)221(1)12=29.75f(0)=2.75(0)3+18(0)221(0)12=12

Thus,

f(1)f(0)<0

Calculate the first root to be,

x1=1+02=0.5

Further,

f(0.5)=2.75(0.5)3+18(0.5)221(0.5)12=3.34375

Thus, f(0.5)f(0)<0. This implies that the root lies between 0.5 and 0.

Calculate the second root to be:

x2=0.5+02=0.25

The approximate error is computed as:

εa=(|0.25(0.5)0.25|×100)%=100%

Therefore, the approximate relative percentage error is 100%.

Furthermore,

f(0.25)=2.75(0.25)3+18(0.25)221(0.25)12=5.58203

Thus, f(0.5)f(0.25)<0. This implies that the root lies between 0.5 and 0.25.

Calculate the third root to be:

x3=0.5+(0.25)2=0.375

The approximate error is computed as:

εa=(|0.375(0.25)0.375|×100)%=33.3%

The approximate error is 33.3%.

Further,

f(0.375)=2.75(0.375)3+18(0.375)221(0.375)12=1.44873

Thus, f(0.5)f(0.375)<0. This implies that the root lies between 0.5 and 0.375.

Calculate the fourth root to be:

x4=0.5+(0.375)2=0.4375

The approximate error is computed as:

εa=(|0.4375(0.375)0.4375|×100)%=14.28%

The approximate error is 14.28%.

Thus,

f(0.4375)=2.75(0.4375)3+18(0.4375)221(0.4375)12=0.8631

Therefore, f(0.4375)f(0.375)<0. This implies that the root lies between 0.4375 and 0.375.

Calculate the fifth root to be:

x5=0.4375+(0.375)2=0.40625

The approximate error is computed as:

εa=(|0.40625(0.4375)0.40625|×100)%=7.69%

The approximate error is 7.69%.

Thus,

f(0.40625)=2.75(0.40625)3+18(0.40625)221(0.40625)12=0.31367

Therefore, f(0.4375)f(0.40625)<0. This implies that the root lies between 0.4375 and 0.40625.

Calculate the sixth root to be:

x6=0.4375+(0.40625)2=0.42188

The approximate error is computed as:

εa=(|0.42188(0.40625)0.42188|×100)%=3.7%

The approximate error is 3.7%.

Thus,

f(0.42188)=2.75(0.42188)3+18(0.42188)221(0.42188)12=0.26947

Therefore, f(0.42188)f(0.40625)<0. This implies that the root lies between 0.42188 and 0.40625.

Calculate the seventh root to be:

x7=0.42188+(0.40625)2=0.41406

The approximate error is computed as:

εa=(|0.41406(0.42188)0.41406|×100)%=1.89%

The approximate error is 1.89%.

Further,

f(0.41406)=2.75(0.41406)3+18(0.41406)221(0.41406)12=0.02341

Thus, f(0.42188)f(0.41406)<0. This implies that the root lies between 0.42188 and 0.41406.

Calculate the eighth root to be:

x8=0.42188+(0.41406)2=0.41797

The approximate error is computed as:

εa=(|0.41797(0.41406)0.41797|×100)%=0.93%

The approximate error is 0.93%.

As, εa is less than 1%, the process is stopped and root can be approximated as 0.41797.

(c)

Expert Solution
Check Mark
To determine

To calculate: The root of the equation f(x)=2.75x3+18x221x12 using the false-position method with xl and xu as 1 and 0, respectively, and with the stopping criteria being the iteration where εa falls below 1%.

Answer to Problem 4P

Solution: The root of the equation can be approximated as 0.41402.

Explanation of Solution

Given Information: The equation f(x)=2.75x3+18x221x12.

Initial guesses are,

xl=1xu=0

Formula used: A root of an equation can be obtained using the false-position method as follows:

1. Choose two values of x, say a and b such that f(a)f(b)<0.

2. Estimate the root by x1=bf(b)(ab)f(a)f(b).

3. If, f(a)f(x1)<0, the root would lie between a and x1. Next, assume the next root to be x2=x1f(x1)(ax1)f(a)f(x1). If, f(a)f(x1)>0, the root would lie between x1 and b. Now assume the next root to be x2=bf(b)(x1b)f(xi)f(b), and if f(a)f(x1)=0, the root is x1.

Calculation:

For the function f(x):

f(1)=2.75(1)3+18(1)221(1)12=29.75f(0)=2.75(0)3+18(0)221(0)12=12

Thus,

f(1)f(0)<0

Calculate the first root to be,

x1=1(29.75)(10)29.75(12)=0.28743

Now,

f(0.28743)=2.75(0.28743)3+18(0.28743)221(0.28743)12=4.41173

Thus, f(1)f(0.28743)<0. This implies that the root lies between 1 and 0.28743.

Calculate the second root to be:

x2=1(29.75)(1(0.28743))29.75(4.41173)=0.37945

The approximate error is computed as:

εa=(|0.37945(0.28743)0.58802|×100)%=24.25%

The approximate relative percentage error is 24.25%.

Further,

f(0.37945)=2.75(0.37945)3+18(0.37945)221(0.37945)12=1.28966

Thus, f(1)f(0.37945)<0. This implies that the root lies between 1 and 0.37945.

Calculate the third root to be:

x3=1(29.75)(1(0.37945))29.75(1.28966)=0.40523

The approximate error is computed as:

εa=(|0.40523(0.37945)0.40523|×100)%=6.36%

The approximate error is 6.36%.

Now,

f(0.40523)=2.75(0.40523)3+18(0.40523)221(0.40523)12=0.35129

Thus, f(1)f(0.40529)<0. This implies that the root lies between 1 and 0.40529.

Calculate the fourth root to be:

x4=1(29.75)(1(0.40529))29.75(0.35129)=0.41217

The approximate error is computed as:

εa=(|0.41217(0.40529)0.41217|×100)%=1.68%

The approximate error is 1.68%.

Now,

f(0.41217)=2.75(0.41217)3+18(0.41217)221(0.41217)12=0.09384

Thus, f(1)f(0.41217)<0. This implies that the root lies between 1 and 0.41217.

Calculate the fifth root would be:

x5=1(29.75)(1(0.41217))29.75(0.09384)=0.41402

The approximate error is computed as:

εa=(|0.41402(0.41217)0.41217|×100)%=0.45%

The approximate error is 0.45%.

As, εa is less than 1%, the process is stopped and root can be approximated as 0.41402.

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EBK NUMERICAL METHODS FOR ENGINEERS

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