O Solucionarão CNC
Por: Vinicius Garcia • 24/10/2019 • Trabalho acadêmico • 467 Palavras (2 Páginas) • 137 Visualizações
Homework 2(6th edition)
Problem 8.15
(a)
When the oxygen level is 5mg/l, we have:
5 = 10 - 20(e−0.15x - e−0.5x)
0 = 5 - 20(e−0.15x - e−0.5x)
Let f(x) = 5 - 20(e−0.15x - e−0.5x)
Plot f(x)
[pic 1]
According to the plot, when f(x) = 0, x is approximately equal to 1(between 0.8 to 1)
Now we can use the Bisection to find the solution:
xl = 0.8, xu = 1, xr = , εa = ||100%[pic 2][pic 3]
iteration | xl | xu | xr | f(xl)*f(xr) | f(xu)*f(xr) | εa |
0 | 0.8 | 1 | 0.9 | >0 | <0 | |
1 | 0.9 | 1 | 0.95 | >0 | <0 | 5.3% |
2 | 0.95 | 1 | 0.975 | >0 | <0 | 2.6% |
3 | 0.975 | 1 | 0.9875 | <0 | >0 | 1.3% |
4 | 0.975 | 0.9875 | 0.98125 | 0.64% |
0.64% < 1% , so the distance should be x = 0.98125 with a percent relative error εa = 0.64%
Checking the result by substituting it into original equation:
c = 10 - 20(e−0.15* 0.98125 - e−0.5*0.98125)
= 4.982
(b)
c = 10 - 20(e−0.15x - e−0.5x)
let f(x) = 10 - 20(e−0.15x - e−0.5x)
f’(x) = 3e-0.15x – 10e-0.5x, when f’(x) = 0, the oxygen should be at a minimum.
0 = 3e-0.15x – 10e-0.5x
let g(x) = 3e-0.15x – 10e-0.5x
plot the g(x)
[pic 4]
According to the plot, when g(x) = 0, x should between 3 to 4.
We can use the Bisection to find the solution
xl = 3, xu = 4, xr = , εa = ||100%[pic 5][pic 6]
iteration | xl | xu | xr | f(xl)*f(xr) | f(xu)*f(xr) | εa |
0 | 3 | 4 | 3.5 | <0 | >0 | |
1 | 3 | 3.5 | 3.25 | >0 | <0 | 7.7% |
2 | 3.25 | 3.5 | 3.375 | >0 | <0 | 3.7% |
3 | 3.375 | 3.5 | 3.4375 | >0 | <0 | 1.8% |
4 | 3.4375 | 3.5 | 3.46875 | <0 | >0 | 0.9% |
5 | 3.4375 | 3.46875 | 3.453125 | <0 | >0 | 0.45% |
6 | 3.4375 | 3.453125 | 3.4453125 | <0 | >0 | 0.23% |
7 | 3.4375 | 3.445313 | 3.4414065 | <0 | >0 | 0.11% |
8 | 3.4375 | 3.4414065 | 3.43945325 | 0.06% |
The distance x is about 3.43945325 when g(x) = 0 with a percent relative error εa = 0.06%. at this point , oxygen is at minimum.
Compute the minimum concentration:
c = 10 - 20(e−0.15* 3.43945325 - e−0.5*3.43945325)
= 1.643255
Problem 8.16
(a) the graphical method:
When the concentration of bacteria reduces to 15, we have:
15 = 75e−1.5t + 20e−0.075t
0 = 75e−1.5t + 20e−0.075t – 15
let f(t) = 75e−1.5t + 20e−0.075t – 15
plot f(t):
[pic 7]
According to the plot, when f(t) = 0, t ≈ 4. So when the concentration of bacteria reduces to 15, t ≈ 4
(b) Newton-Raphson method
f’(t) = -112.5e−1.5t – 1.5e−0.075t
so:
ti+1 = ti - [pic 8]
initial guess of t = 6 and a stopping criterion of 0.5%, so we start with an initial guess of t = 6 and use the above iterative equation to compute:
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