3. Write a MATLAB function, called Newtons_method that inputs a function, f, it\
ID: 2259273 • Letter: 3
Question
3. Write a MATLAB function, called Newtons_method that inputs a function, f, it's derivative f', an initial guess o, an error tolerance, tol, and a maximum number of iterations, N, and outputs the root of f obtained using Newton's method (denoted by c), starting with zo- Your function should have an error defined by err-^n - xn-il, and stop when the error is less than the tolerance, or if the number of iterations exceeds N - whichever happens first. Your function header should look something like: function [c, n, err) Newtons-method (f, fp, x0,tol,N) = where n is the last iteration when you stop Use the function you created to find the root of the equation arctan(x)-1 with initial guess zo 2, to an accuracy of less than e 10-8. Did your method converge, and if so, how many iterations did it take? If not, why didn't it converge, and what happened-did it diverge, or end up in an infinite loop? Plot on the same graph the function and the axis y = 0. Test with =-2. What is happening ?Explanation / Answer
function[c,n,err]=Newtons_method(f,fp,x0,tol,N)
%x0 initial guess
%f function
% fp derivative of f
%tol tolerence
%N max iterations
% f = inline(f);
% fp = inline(fp);
n=0;
err=0.1;
while (abs(err>tol)& (n<=N))
y1=x0-(f(x0)/fp(x0));%Newton method
err=abs((y1-x0)); %erorr
% if abs(erorr<1e-3)
% break
%end
n=1+n;
x0=y1;
c(n+1)=x0;
end
clc;
clear all;
f=@(x)(atan(x)-1);
fp=@(x)1/(1+x^2);
x0=2;
tol=1e-8;
N=100;
[c,n,err]=Newtons_method(f,fp,x0,tol,N)
x=0:length(c)-1
plot(x,c)
hold on
plot(x,f(x),'r')
legend('c','f')
%% Note :both the file should save in one folder
x0=2
then
c =
0 1.4643 1.5535 1.5574 1.5574 1.5574
n =
5
err =
2.1656e-011
x0=-2
then
c =
1.0e+202 *
0 0.0000 -0.0000 0.0000 -0.0000 0.0000 -0.0000 0.0000 -0.0000 5.2492 -Inf NaN
n =
11
err =
NaN
x0=-2 is not convergening becuse derivative of is going to zero
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