Question about Taylor Series While loop.
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I'm completely stuck on this While Loop using Taylor Series.
x = input('Input the angle in radians: ');
Cos_Estimate = 0;
k = 0;
Errrr = 1
while Errrr > .000001
if mod(k,2)
Sign = 1;
else
Sign = -1;
end
k = k + 2;
Cos_Estimate = Cos_Estimate + (x^k/(factorial(k)*Sign));
Errrr = abs(Cos_Estimate - cos(x));
end
err = abs(Cos_Estimate - cos(x));
fprintf('The estimated cosine value based on the Taylor Series is: %0.6f \n',Cos_Estimate)
fprintf('The actual cosine value is : %0.6f \n',cos(x))
fprintf('The estimation error is: %0.6f \n',err)
fprintf('The number of terms required was: \n',term)
Now I am getting NaN for my variable. I'm stuck.
2 comentarios
Azzi Abdelmalek
el 6 de Mzo. de 2013
Now your variable is Nan
Derryn
el 6 de Mzo. de 2013
Respuesta aceptada
Más respuestas (2)
Azzi Abdelmalek
el 6 de Mzo. de 2013
Editada: Azzi Abdelmalek
el 6 de Mzo. de 2013
0 votos
Your code never enter in the loop because Errrr is not defined
5 comentarios
Derryn
el 6 de Mzo. de 2013
Matt Kindig
el 6 de Mzo. de 2013
Editada: Matt Kindig
el 6 de Mzo. de 2013
The issue is because the factorial() function, at very high values of k, exceeds the limit for double-precision numbers (specifically, you get a value of Inf). To demonstrate, run this at the command line:
>> factorial(160:180)
Notice that after the 11th column (i.e. factorial(170)) the factorial no longer is defined. When dividing by Inf, you get NaN in Cos_Estimate.
To fix this, the easiest way might be to add a second condition to your while loop, to terminate when k exceeds 170 or so.
Also, you don't define 'term' anywhere in your code, so the last line throws an error.
Matt Kindig
el 6 de Mzo. de 2013
Editada: Matt Kindig
el 6 de Mzo. de 2013
Also, what exactly is the point of the "estimation error" calculation (calculation of 'err')? By definition, won't this be equal to Errrr, because you have defined it that way? Also, won't 'err' always be less than 0.000001, because of the way you have defined your loop?
Derryn
el 6 de Mzo. de 2013
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