#floating-point-precision

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Fixed Why does adding 0.1 multiple times remain lossless? #dev #it #asnwer

Fixed Why does adding 0.1 multiple times remain lossless? #dev #it #asnwer

Why does adding 0.1 multiple times remain lossless?

I know the 0.1 decimal number cannot be represented exactly with a finite binary number (explanation), so double n = 0.1 will lose some precision and will not be exactly 0.1. On the other hand 0.5 can be represented exactly because it is 0.5 = 1/2 = 0.1b.

Having said that it is understandable that adding 0.1 three times will not give exactly 0.3

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How to: Are floating-point numbers consistent in C#? Can they be?

How to: Are floating-point numbers consistent in C#? Can they be?

Are floating-point numbers consistent in C#? Can they be?

No, this is not another “Why is (1/3.0)x3 != 1.0″ question.

I’ve been reading about floating-points a lot lately; specifically, how the same calculation might give different results on different architectures or optimization settings.

This is a problem for video games which store replays, or are peer-to-peer networked(as opposed to…

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How to: Why does adding 0.1 multiple times remain lossless?

How to: Why does adding 0.1 multiple times remain lossless?

Why does adding 0.1 multiple times remain lossless?

I know the 0.1 decimal number cannot be represented exactly with a finite binary number (explanation), so double n = 0.1 will lose some precision and will not be exactly 0.1. On the other hand 0.5 can be represented exactly because it is 0.5 = 1/2 = 0.1b.

Having said that it is understandable that adding 0.1 three times will not give exactly 0.3

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How to: Limiting floats to two decimal points

How to: Limiting floats to two decimal points

Limiting floats to two decimal points

I want a to be rounded to 13.95

>>> a 13.949999999999999 >>> round(a, 2) 13.949999999999999

The round function does not work the way I expected.

Answer: Limiting floats to two decimal points

You are running into the old problem with floating point numbers that all numbers cannot be represented. The command line is just showing you the full floating point…

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