Finding absolute and approximate errors
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Given the approximation series of the logarithmic function below,

(I’m not sure how to express this equation so I had to take a picture of it, sorry)
I want to write a function, called error comparison, that determines both the absolute and relative errors of the approximation as a function of the approximation order, n, and the value of x.
[abserror,relerror] = error_comparison(x,n)
abserror= abs(x - n)
relerror: abs(x - n) / min(abs(x), abs(n))
any suggestions on how to continue?
2 个评论
Jan
2012-11-2
"Your plot labels should be..." seems to show, that this is a homework question. Please mention this explicitly, because homework question require a different strategy for answering: If a complete solution is posted, you cannot submit the homework without cheating anymore.
José-Luis
2012-11-2
Try and write your equation first. If you don't know how, please read the getting started part of the documentation, and ask a more specific question in this forum. This looks like homework. It is generally frowned upon to ask other people to do your homework.
回答(1 个)
Jan
2012-11-2
编辑:Jan
2012-11-2
Now you should implement the formula as a function. Now there are two alternatives: Either create two for loops to vary n and x, or insert the loop over n inside the function foir the stimation of ln and let this function reply the values for 1:n.
If you get explicit problems with the implementation, please append them to your question by editing and mark this by a "[EDITED]" tag in the text.
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