This little piece of code is making me crazy: #include <stdio.h> int main() { double x; const double d=0.1;
I am printing some data from a C++ program to be processed/visualized by ParaView, but I am having a problem with floating point numbers. Paraview s开发者_开发知识库upports both Float32 and Float64 da
I know about basic data types and that float types (float,double) can not hold some numbers exactly. In porting some code from Matlab to Python (Numpy) I however found some significant differences in
So I have been trying to wrap by head around the relation between the number of significant digits in a floating point number and the relative loss of precision, but I just can\'t seem to make sense o
Got a question regarding to the underlying data structure of float (and prec开发者_如何学JAVAision) in Python:
My algorithm is calculating the epsilon for single precision floating point arithmetic. It is supposed to be something around 1.1921e-007. Here is the code:
my question is mainly for开发者_如何学Go scientific computations but I am asking in general. How do you practically choose fp model in compiler ? for example intel has precise, strict, fast, extended,
I was messing around with storing floats and doubles using NSUserDefaults for use in an iPhone application, and I came across some inconsistencies in how the precision works with them, and how I under
I still can\'t get accurate results. What is the max. amount of decimals I should display if I want it to be as accurate as possible?
int main() { float x=3.4e2; printf(\"%f\",x); return 0; } Output: 340.000000// It\'s ok. But if write x=3.1234e2 the output is 312.339996 and if x=3.12345678e2 the output is 312.345673.
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