Why vector created by colon have improper values
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I'm creating vector with specified increment and later on I'm logical indexing it. When I'm looking for a value that should be present it turns out it's not there. Please explain the issue. What's the proper usage of logical indexing in such case?
x = -3:0.1:3;
any(x == 0.8) % returns 0 - no value 0.8 in -3:0.1:3;
%
x = round(x,1);
any(x == 0.8) % returns 1 - value 0.8 present in -3:0.1:3;
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Stephen23
2021 年 5 月 20 日
編集済み: Stephen23
2021 年 5 月 20 日
"Please explain the issue."
Read about binary floating point numbers:
This is worth reading as well:
"What's the proper usage of logical indexing in such case?"
Do not expect exact equivalence. Do not round.
Compare the absolute difference against a tolerance:
abs(A-B)<tol
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Jan
2021 年 5 月 20 日
編集済み: Jan
2021 年 5 月 20 日
Welcme to the world of numerical maths.
Your question belongs to the list of Most Frequently Asked Questions:
"What's the proper usage of logical indexing in such case?"
Never compare floating point numbers by ==, but consider a tolerance. The size of this tolerance cannot be defined in general, see e.g.:
(1e17 + 1 - 1e17) * 1e6 % replies 0
(1e17 - 1e17 + 1) * 1e6 % replies 1e6
The unavoidable numerical rounding errors can be amplified by further calculations. Therefore a scientific calculation must include an analysis of the sensitivity to the initial values and parameters.
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その他の回答 (2 件)
Daniel Pollard
2021 年 5 月 20 日
I'm struggling a bit to understand exactly what your question is but I think what you're asking is why the value 0.8 is not in your vector x=-3:0.1:3. The answer is that Matlab deals with floating point numbers, so the numbers stored may sometimes be off from what you expect by a very tiny amount.
The workaround, if you know what the precision of you numbers should be, is to round to that precision. Your code is as follows:
x = -3:0.1:3;
You define the vector.
x == round(0.8,1);
This asks Matlab a question. You've asked "what elements of x are exactly equal to round(0.8,1)? You'd expect the response to be a vector of zeros except at 0.8, where you'd expect a 1. This line doesn't actually do anything as you don't store or display the output.
any(x == 0.8); % returns 0 - no value 0.8 in -3:0.1:3;
As you've noted, none of the elements of x are equal to 0.8, despite your expectations that one of them will be.
x = round(x,1);
You now round all the elements of x to one significant figure.
x == round(0.8,1);
Again you ask "Are any elements of x equal to 0.8?", but now one of them is. However again you don't store or display the output so effectively it does nothing.
any(x == 0.8); % returns 1 - value 0.8 present in -3:0.1:3;
Are any of the elements of x equal to 0.8? There wasn't one before, but now there is. This is because of the rounding you did removing the floating point error.
If you want to return the position in x where 0.8 is stored, you can use code something like
x = -3:0.1:3; % Define the vector
x = round(x, 1); % Round all elements in the vector to 1 SF
pos = find(x == 0.8); % pos is the index where x = 0.8;
disp(pos)
disp(x(pos))
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Sulaymon Eshkabilov
2021 年 5 月 20 日
The latter one is the right one. Since MATLAB takes up 16. cdd and thus, rounding would give us the value that we are looking at here.
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