Bisection method (t=

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Find the root of the equation f(x) = ex − 3 using the methods in (a), (b), and (c). For all methods, use a percent relative approximate error tolerance of 10%. Carry out your iterations using 5 decimal digits

Find the root of the equation f(x) = e* – 3 using the methods in (a), (b) and (c).
For all methods, use a percent relative approximate error tolerance of 10%. Carry out
your iterations using 5 decimal digits (hand calculation).
(a)
In the interval [0, 2] using Bisection method (tabulate your solution as
shown below please)
ite ration #
f(x)
X,
f(x,)
error
(b)
|In the interval [0, 2] using Regula-falsi (false position) method (tabulate
your solution as shown below please)
iteration #
f(x))
f(x„)
f(x,)
|errorm (%)
Xu
X,
(c)
Newton-Raphson method (use initial guess of x, = 0)
iteration #
f(x;)
f(x;)
Xi+1
error (%)
(d)
Compare the results in (a), (b) and (c) in terms of speed of convergence.
Transcribed Image Text:Find the root of the equation f(x) = e* – 3 using the methods in (a), (b) and (c). For all methods, use a percent relative approximate error tolerance of 10%. Carry out your iterations using 5 decimal digits (hand calculation). (a) In the interval [0, 2] using Bisection method (tabulate your solution as shown below please) ite ration # f(x) X, f(x,) error (b) |In the interval [0, 2] using Regula-falsi (false position) method (tabulate your solution as shown below please) iteration # f(x)) f(x„) f(x,) |errorm (%) Xu X, (c) Newton-Raphson method (use initial guess of x, = 0) iteration # f(x;) f(x;) Xi+1 error (%) (d) Compare the results in (a), (b) and (c) in terms of speed of convergence.
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