Neglecting difference between two values if it is very small so that value1= value2
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I am working on a dataset. After some eigendecompostion process. I realise the difference between my values are as small as 1.8097e-14 which is my further implementation process.
Example
data1(1:10) = 0 0.1502 0.2970 0.4371 0.5673 0.6845 0.7863 0.8702 0.9343 0.9773
data2(1:10) = -0.0000 0.1502 0.2970 0.4371 0.5673 0.6845 0.7863 0.8702 0.9343 0.9773
C= data1(1:10)-data2(1:10)
C =
1.0e-12 *
0.0862 0.1227 0.1545 0.0772 0.1019 0.1178 -0.0174 0.0048 0.0170 0.0181
How do I code that the these difference be neglected so that values in data1 & data2 will be equal since the difference is very small
Answers (1)
Fangjun Jiang
on 28 Jul 2021
Edited: Fangjun Jiang
on 28 Jul 2021
0 votes
To compare element by element, abs(C) < Tolerance
To compare the two vectors as a whole, all(abs(C) < Tolerance)
or use
ismembertol(C,0,Tolerance)
7 Comments
Stephen23
on 29 Jul 2021
abs(C) < 1e-10
Fangjun Jiang
on 29 Jul 2021
It is a small number like the one @Stephen Cobeldick gave. It is the difference that can be neglected based on the meaning of your data.
Cutie
on 29 Jul 2021
Fangjun Jiang
on 29 Jul 2021
You goal is to compare if Data1 and Data2 are equal,
instead of using "if Data1==Data2 (or Data1-Data2==0)" which are problematic,
you use "if abs(Data1-Data2)<1e-6"
Cutie
on 29 Jul 2021
Fangjun Jiang
on 29 Jul 2021
I guess you could to that. The solution is clear, do whatever to get the result you need.
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