Reputation: 148
I got some question relating the precision of the num2str() fctn in MatLab.
a=0.11111111111111;
b=a;
Linux/OSX: num2str(a+b,25): ans=0.2222222222222221655465116
Windows: num2str(a+b,25): ans= 0.222222222222222
Can anyone explain where the numbers after the 15th decimal place is coming from when using a Linux/OSX system? What is the maximum precision num2str() can obtain?
There is some hint at the num2str documentation that I don't understand completly.
Note: If you specify precision to exceed the precision of the input floating-point data type, the results might not match the input values to the precision you specified. The result depends on your computer hardware and operating system.
Upvotes: 2
Views: 410
Reputation: 10176
Have a look at eps
(https://de.mathworks.com/help/matlab/ref/eps.html) which gives you the floating-point relative accuracy, which depends on your system architecture.
Have a further look here: https://de.mathworks.com/matlabcentral/answers/26458-machine-epsilon:
It roughly means that numbers are stored with about 15-16 digits of precision. If a number is approximately 1, then that means it can be stored with an error of around 10^(-16)
[...]
d = eps(X) is the positive distance from abs(X) to the next larger in magnitude floating point number of the same precision as X"
That says that d = eps(1) is the smallest positive value such that (1+d) is exactly representable and is different than 1.
1+eps(1) is the smallest representable number greater than 1, a single bit difference in the least significant (smallest change) bit.
Also have a look here to get to know more about it in general (as it is not really a MATLAB specific topic): https://en.wikipedia.org/wiki/Machine_epsilon
Upvotes: 3