问题
In an attempt to see what would happen in the case of a float underflow I found that I could make float numbers much smaller than FLT_MIN. I'm using xcode 5.1 on OS 10.9. The language dialect is gnu99.
#include <stdio.h>
#include <stdlib.h>
#include <float.h>
int main(int argc, const char * argv[])
{
float underflow = FLT_MIN * 0.0000004;
printf("Float min is %f or %e.\nUnderflow is %f or %e\nMin float exp is %d.\n", FLT_MIN, FLT_MIN, underflow, underflow, FLT_MIN_10_EXP);
return 0;
}
Prints:
Float min is 0.000000 or 1.175494e-38.
Underflow is 0.000000 or 4.203895e-45
Min float exp is -37.
- Is there a more effective method of demonstrating the limits of data types?
- Why is FLT_MIN not actually the smallest float value? Are there other constants that I'm supposed to be using? After typing the previous question I found FLT_TRUE_MIN. What is this number?
回答1:
2 possibilities to get "below minimum":
floatrange:Typical
floatnumbers have 2 ranges: full precision (normal range) fromFLT_MAXdown toFLT_MINand a 2nd range with reducing precision fromFLT_MINdown toFLT_TRUE_MIN. This 2nd range, called "subnormal" typically provides about 10^-7 more range.FLT_TRUE_MINis the "minimum positive floating-point number"FLT_MINis the "minimum normalized positive floating-point number"FLT_MIN_10_EXPis the "minimum negative integer such that 10 raised to that power is in the range of normalized floating-point numbers"C11dr §5.2.4.2.2
In general
0 < FLT_TRUE_MIN <= FLT_MIN <= 10^FLT_MIN_10_EXP <= 10^-37Math performed as
double.printf()coverts eachfloatpassed to it to adouble. C allows code to optimize such that the value passed toprintf()may be thedoubleproduct ofFLT_MIN * 0.0000004.float underflow = FLT_MIN * 0.0000004; printf("%e\n", underflow);Had the output been
4.701976e-45rather than4.203895e-45, this would have been the case.
Note on "subnormal". A compelling reason for subnormal (or denormal) numbers lies in the following problem.
float a,b;
... // somehow a and b are set.
// Are the 2 below equivalent?
if (a == b) foo();
if ((a - b) == 0) foo();
Without subnormal numbers, 2 nearly the same value numbers near FLT_MIN would have a non-zero mathematical difference much below FLT_MIN and the result would round to 0.0.
With subnormal numbers, the difference of every pair of different floats is representable by something other than 0.0. **
** Except +0.0, -0.0. Signed zeros have their own peculiarities.
回答2:
In really simple, not exact terms, floating points are stored as 0.xxxxx x 2^yyyyyy. "Normal" numbers are required to NOT have leading zeros in the xxxxx part. So the smallest number you can make is something like 0.10000 x 2^-111111. However if you "cheat" and denormalize the number you can make one like 0.000001 x 2^-111111, which is smaller but has fewer significant digits.
See http://en.wikipedia.org/wiki/Denormal_number
回答3:
Representing a floating number as y = (+/-) significand x base ^ (exponent - precision), every y != 0 has a unique representation if you make sure that significand >= base ^ (precision - 1). A nonzero y that satisfies this is called normalized. Now FLT_MIN is the minimum normalized positive float, while FLT_TRUE_MIN is the true minimum you get without the normalized-restriction.
In other words, FLT_MIN = base ^ (FLT_MIN_EXP - 1) and FLT_TRUE_MIN = base ^ (FLT_MIN_EXP - precision).
来源:https://stackoverflow.com/questions/25705287/floats-smaller-than-flt-min-why-flt-true-min