I am using "(float)$val" for some calculation, but for some decimal value like -0.00000025478625 (float)-0.00000025478625 is resulting to -2.5
Precision gets lost for big number. I am using tail input plugin to read file and data inside a file is in json format. Below is the configuration [inputs.tail]
An algorithm I'm using needs to squeeze as many levels of precision as possible from a float number in Javascript. I don't mind whether the precision comes from
Why the precision of the float is up to 6 digits after the decimal point and the precision of the double is up to 15 digits after the decimal point? Can anyone
C++ has std::nextafter(), which returns the next representable value after a given floating-point value f. In my case, I'd like to allow for n bits of slop in t
I was comparing the result of my following python calculation with Mathematica: https://www.wolframalpha.com/input?i=sum+%28500+choose+r+%29%28-1%29%5Er+%2F%28r
For the following code: https://godbolt.org/z/WcGf9hEs3 #include <stdio.h> int main() { char temp_buffer[8]; double val = 25.3; sprint
I am trying to use XGBoost for classification. I am pretty doubtful on its accuracy. I have applied it with default parameters and the precision is 100%. xg_c
I'm writing a teaching document that uses lots of examples of Python code and includes the resulting numeric output. I'm working from inside IPython and a lot
I'm having some trouble with the test cases for Project Euler #1 on HackerRank and was hoping someone with some JS experience on HackerRank could help out. B
In the CUDA Programming guide, v11.7, section B.24.6. Element Types & Matrix Sizes, there's a table of supported type combinations, in which the multiplicat
Source: Google Code Jam. https://code.google.com/codejam/contest/10224486/dashboard#s=a&a=1 We're asked to calculate Prob(K successes from N trials) where
Given a double, I want to round it to a given number of points of precision after the decimal point, similar to PHP's round() function. The closest thing I can
What is the difference between double-precision data type and numeric data type in R programming?
I need to get the full nanosecond-precision modified timestamp for each file in a Python 2 program that walks the filesystem tree. I want to do this in Python i
The Wiki Double-precision floating-point format says: This gives 15–17 significant decimal digits precision. If a decimal string with at most 15 signific
I ask because I am using the Box2D library, which calls for mostly float arguments. Although I see a lot of example code that uses the 0.00f format, I am not qu
I'm working in Python with NumPy arrays of complex numbers that extend well past the normal floating point limits of NumPy’s default Complex type (numbers