eqq asked . 2023-03-29

Newton-Raphson algorithm stuck running after 4 or 5 iterations

Code:

 

%% initial setup
syms x real
f = x^5-2*x^3+4*x+2;
error_lim = 1e-5;
%% newton raphson
d_f = diff(f);
m = 5;
disp(m)
% iterate till root is found with certain accuracy
more off;
while true
    e = m - subs(f,m)/subs(d_f,m);
    err = abs(e-m);
    fprintf("error = %g\n", err)
    if err < error_lim
        break
    end
    m = e;
    fprintf("x_p = %g\n", m)
end
fprintf("the root newton raphson method is %g\n", e)
and the output is:
>> stat3_b
     5
error = 0.972474
x_p = 4.02753
error = 0.774926
x_p = 3.2526
error = 0.620288
x_p = 2.63231
error = 0.505877
x_p = 2.12643
error = 0.439351
x_p = 1.68708
error = 0.467107
x_p = 1.21998
error = 0.968289
x_p = 0.251687
error = 0.817551
x_p = -0.565863

After 8th iterations matlab is busy, but nothing prints. It runs and gives appropriate solution of the function when initial m is set to 1 or 2 but problem arises when m is set to 3 or higher. What is wrong with the above allgorithm?

Symbolic Math Toolbox , numerical solution , Mathematics and Optimization

Expert Answer

Neeta Dsouza answered . 2024-12-21 21:20:39

Converting to numeric data type is much faster than using symbolic values

 

syms x real
%I have defined f to be an explicit function of x, so that you can directly input 
%the value to get the output instead of using subs()
f(x) = x^5-2*x^3+4*x+2;
error_lim = 1e-5;
%% newton raphson
%as a result, d_f is also an explicit function of x
d_f = diff(f)
d_f(x) = 

m = 5;
while true
    %conversion to double
    e = m - double(f(m)/d_f(m));
    err = abs(e-m);
    %fprintf("error = %g\n", err)
    if err < error_lim
        break
    end
    m = e;
    %fprintf("x_p = %g\n", m)
end
%Succesful completion of while loop and result is obtained
fprintf("the root newton raphson method is %g\n", e)
the root newton raphson method is -0.581803

 


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