An easy way to generate a random float64 in [0,1) is by generating a uniformly random int in [0,2⁵³) and dividing it by 2⁵³. This is essentially what rand.Float64() is doing. However, not all possible float64 values between 0 and 1 can be generated this way: if the value is...
I stumbled on a function that I think is unnecessary, and generally scares me:Which is then used like this:
Im reading the C# in a Nutshell book and it shows this table: Im having a hard time understanding the table. It says that double takes 64 bits of space and it ranges from 10^-324 to 10^308. Decimal takes 128 bits of space BUT is also says that it ranges...
According to Hackage, these functions of the RealFloat class are... constant function[s] ...If they always remain at the same value, no matter the argument, as suggested by this description, why not simply use:
Suppose I have two variables which are both set to infinityAt another point in the code, I have a comparison of these two variables
I have this code in C where I've declared 0.1 as double.This is what it prints, a is 0.10000000000000001000000000000000000000000000000000000000
In some cases, see one example below, std::is_floating_point is returning false for float.Output from GCC
I love FP; every time I think to had got it, I understand to know nothing about it :)This is an example that I don't understand. I sum 8 time the same number (0.1) and I print the result, of both sum and "original":
Short question: is there anything in the C++ standard (or the IEEE 754 floating-point standard) that guarantees that 1./std::numeric_limits<double>::infinity() is zero (or at least a small number)?
When converting a float to a str, I can specify the number of decimal points I want to displayBut when simply calling str on a float in python 2.7, it seems to default to 12 decimal points max