float.h - floating types
#include <float.h>
The functionality described on this reference page is aligned with the ISO C standard. Any conflict between the requirements described here and the ISO C standard is unintentional. This volume of IEEE Std 1003.1-2001 defers to the ISO C standard.
The characteristics of floating types are defined in terms of a model that describes a representation of floating-point numbers and values that provide information about an implementation's floating-point arithmetic.
The following parameters are used to define the model for each floating-point type:
A floating-point number x is defined by the following model:
In addition to normalized floating-point numbers (f_1>0 if x!=0), floating types may be able to contain other kinds of floating-point numbers, such as subnormal floating-point numbers ( x!=0, e= e_min, f_1=0) and unnormalized floating-point numbers ( x!=0, e> e_min, f_1=0), and values that are not floating-point numbers, such as infinities and NaNs. A NaN is an encoding signifying Not-a-Number. A quiet NaN propagates through almost every arithmetic operation without raising a floating-point exception; a signaling NaN generally raises a floating-point exception when occurring as an arithmetic operand.
The accuracy of the floating-point operations ( '+' , '-' , '*' , '/' ) and of the library functions in <math.h> and <complex.h> that return floating-point results is implementation-defined. The implementation may state that the accuracy is unknown.
All integer values in the <float.h> header, except FLT_ROUNDS, shall be constant expressions suitable for use in #if preprocessing directives; all floating values shall be constant expressions. All except DECIMAL_DIG, FLT_EVAL_METHOD, FLT_RADIX, and FLT_ROUNDS have separate names for all three floating-point types. The floating-point model representation is provided for all values except FLT_EVAL_METHOD and FLT_ROUNDS.
The rounding mode for floating-point addition is characterized by the implementation-defined value of FLT_ROUNDS:
All other values for FLT_ROUNDS characterize implementation-defined rounding behavior.
The values of operations with floating operands and values subject to the usual arithmetic conversions and of floating constants are evaluated to a format whose range and precision may be greater than required by the type. The use of evaluation formats is characterized by the implementation-defined value of FLT_EVAL_METHOD:
All other negative values for FLT_EVAL_METHOD characterize implementation-defined behavior.
The values given in the following list shall be defined as constant expressions with implementation-defined values that are greater or equal in magnitude (absolute value) to those shown, with the same sign.
Radix of exponent representation, b.
Number of base-FLT_RADIX digits in the floating-point significand, p.
Number of decimal digits, n, such that any floating-point number in the widest supported floating type with p_max radix b digits can be rounded to a floating-point number with n decimal digits and back again without change to the value.
Number of decimal digits, q, such that any floating-point number with q decimal digits can be rounded into a floating-point number with p radix b digits and back again without change to the q decimal digits.
Minimum negative integer such that FLT_RADIX raised to that power minus 1 is a normalized floating-point number, e_min.
Minimum negative integer such that 10 raised to that power is in the range of normalized floating-point numbers.
Maximum integer such that FLT_RADIX raised to that power minus 1 is a representable finite floating-point number, e_max.
Maximum integer such that 10 raised to that power is in the range of representable finite floating-point numbers.
The values given in the following list shall be defined as constant expressions with implementation-defined values that are greater than or equal to those shown:
Maximum representable finite floating-point number.
The values given in the following list shall be defined as constant expressions with implementation-defined (positive) values that are less than or equal to those shown:
The difference between 1 and the least value greater than 1 that is representable in the given floating-point type, b**1-p.
Minimum normalized positive floating-point number, b**e_min.
The following sections are informative.
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