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This chapter contains information about functions for performing mathematical computations, such as trigonometric functions. Most of these functions have prototypes declared in the header file ‘math.h’.
All of the functions that operate on floating-point numbers accept
arguments and return results of type double
. In the future,
there may be additional functions that operate on float
and
long double
values. For example, cosf
and cosl
would be versions of the cos
function that operate on
float
and long double
arguments, respectively. In the
meantime, you should avoid using these names yourself. @xref{Reserved
Names}.
1.1 Domain and Range Errors | Detecting overflow conditions and the like. | |
1.2 Trigonometric Functions | Sine, cosine, and tangent. | |
1.3 Inverse Trigonometric Functions | Arc sine, arc cosine, and arc tangent. | |
1.4 Exponentiation and Logarithms | Also includes square root. | |
1.5 Hyperbolic Functions | Hyperbolic sine and friends. | |
1.6 Pseudo-Random Numbers | Functions for generating pseudo-random numbers. |
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Many of the functions listed in this chapter are defined mathematically
over a domain that is only a subset of real numbers. For example, the
acos
function is defined over the domain between -1
and
1
. If you pass an argument to one of these functions that is
outside the domain over which it is defined, the function sets
errno
to EDOM
to indicate a domain error. On
machines that support IEEE floating point, functions reporting error
EDOM
also return a NaN.
Some of these functions are defined mathematically to result in a complex value over parts of their domains. The most familiar example of this is taking the square root of a negative number. The functions in this chapter take only real arguments and return only real values; therefore, if the value ought to be nonreal, this is treated as a domain error.
A related problem is that the mathematical result of a function may not
be representable as a floating point number. If magnitude of the
correct result is too large to be represented, the function sets
errno
to ERANGE
to indicate a range error, and
returns a particular very large value (named by the macro
HUGE_VAL
) or its negation (- HUGE_VAL
).
If the magnitude of the result is too small, a value of zero is returned
instead. In this case, errno
might or might not be
set to ERANGE
.
The only completely reliable way to check for domain and range errors is
to set errno
to 0
before you call the mathematical function
and test errno
afterward. As a consequence of this use of
errno
, use of the mathematical functions is not reentrant if you
check for errors.
None of the mathematical functions ever generates signals as a result of
domain or range errors. In particular, this means that you won’t see
SIGFPE
signals generated within these functions. (@xref{Signal
Handling}, for more information about signals.)
An expression representing a particular very large number. On machines that use IEEE floating point format, the value is “infinity”. On other machines, it’s typically the largest positive number that can be represented.
The value of this macro is used as the return value from various mathematical functions in overflow situations.
For more information about floating-point representations and limits,
see @ref{Floating Point Parameters}. In particular, the macro
DBL_MAX
might be more appropriate than HUGE_VAL
for many
uses other than testing for an error in a mathematical function.
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These are the familiar sin
, cos
, and tan
functions.
The arguments to all of these functions are in units of radians; recall
that pi radians equals 180 degrees.
The math library doesn’t define a symbolic constant for pi, but you can define your own if you need one:
#define PI 3.14159265358979323846264338327
You can also compute the value of pi with the expression acos
(-1.0)
.
This function returns the sine of x, where x is given in
radians. The return value is in the range -1
to 1
.
This function returns the cosine of x, where x is given in
radians. The return value is in the range -1
to 1
.
This function returns the tangent of x, where x is given in radians.
The following errno
error conditions are defined for this function:
ERANGE
Mathematically, the tangent function has singularities at odd multiples
of pi/2. If the argument x is too close to one of these
singularities, tan
sets errno
to ERANGE
and returns
either positive or negative HUGE_VAL
.
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These are the usual arc sine, arc cosine and arc tangent functions, which are the inverses of the sine, cosine and tangent functions, respectively.
This function computes the arc sine of x—that is, the value whose
sine is x. The value is in units of radians. Mathematically,
there are infinitely many such values; the one actually returned is the
one between -pi/2
and pi/2
(inclusive).
asin
fails, and sets errno
to EDOM
, if x is
out of range. The arc sine function is defined mathematically only
over the domain -1
to 1
.
This function computes the arc cosine of x—that is, the value
whose cosine is x. The value is in units of radians.
Mathematically, there are infinitely many such values; the one actually
returned is the one between 0
and pi
(inclusive).
acos
fails, and sets errno
to EDOM
, if x is
out of range. The arc cosine function is defined mathematically only
over the domain -1
to 1
.
This function computes the arc tangent of x—that is, the value
whose tangent is x. The value is in units of radians.
Mathematically, there are infinitely many such values; the one actually
returned is the one between -pi/2
and pi/2
(inclusive).
This is the two argument arc tangent function. It is similar to computing
the arc tangent of y/x, except that the signs of both arguments
are used to determine the quadrant of the result, and x is
permitted to be zero. The return value is given in radians and is in
the range -pi
to pi
, inclusive.
If x and y are coordinates of a point in the plane,
atan2
returns the signed angle between the line from the origin
to that point and the x-axis. Thus, atan2
is useful for
converting Cartesian coordinates to polar coordinates. (To compute the
radial coordinate, use hypot
; see Exponentiation and Logarithms.)
The function atan2
sets errno
to EDOM
if both
x and y are zero; the return value is not defined in this
case.
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The exp
function returns the value of e (the base of natural
logarithms) raised to power x.
The function fails, and sets errno
to ERANGE
, if the
magnitude of the result is too large to be representable.
This function returns the natural logarithm of x. exp (log
(x))
equals x, exactly in mathematics and approximately in
C.
The following errno
error conditions are defined for this function:
EDOM
The argument x is negative. The log function is defined mathematically to return a real result only on positive arguments.
ERANGE
The argument is zero. The log of zero is not defined.
This function returns the base-10 logarithm of x. Except for the
different base, it is similar to the log
function. In fact,
log10 (x)
equals log (x) / log (10)
.
This is a general exponentiation function, returning base raised to power.
The following errno
error conditions are defined for this function:
EDOM
The argument base is negative and power is not an integral value. Mathematically, the result would be a complex number in this case.
ERANGE
An underflow or overflow condition was detected in the result.
This function returns the nonnegative square root of x.
The sqrt
function fails, and sets errno
to EDOM
, if
x is negative. Mathematically, the square root would be a complex
number.
This function returns the cube root of x. This function cannot fail; every representable real value has a representable real cube root.
The hypot
function returns sqrt (x*x +
y*y)
. (This is the length of the hypotenuse of a right
triangle with sides of length x and y, or the distance
of the point (x, y) from the origin.) See also the function
cabs
in @ref{Absolute Value}.
This function returns a value equivalent to exp (x) - 1
.
It is computed in a way that is accurate even if the value of x is
near zero—a case where exp (x) - 1
would be inaccurate due
to subtraction of two numbers that are nearly equal.
This function returns a value equivalent to log (1 + x)
.
It is computed in a way that is accurate even if the value of x is
near zero.
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The functions in this section are related to the exponential functions; see Exponentiation and Logarithms.
The sinh
function returns the hyperbolic sine of x, defined
mathematically as exp (x) - exp (-x) / 2
. The
function fails, and sets errno
to ERANGE
, if the value of
x is too large; that is, if overflow occurs.
The cosh
function returns the hyperbolic cosine of x,
defined mathematically as exp (x) + exp (-x) / 2
.
The function fails, and sets errno
to ERANGE
, if the value
of x is too large; that is, if overflow occurs.
This function returns the hyperbolic tangent of x, whose
mathematical definition is sinh (x) / cosh (x)
.
This function returns the inverse hyperbolic sine of x—the value whose hyperbolic sine is x.
This function returns the inverse hyperbolic cosine of x—the
value whose hyperbolic cosine is x. If x is less than
1
, acosh
returns HUGE_VAL
.
This function returns the inverse hyperbolic tangent of x—the
value whose hyperbolic tangent is x. If the absolute value of
x is greater than or equal to 1
, atanh
returns
HUGE_VAL
.
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This section describes the GNU facilities for generating a series of pseudo-random numbers. The numbers generated are not truly random; typically, they form a sequence that repeats periodically, with a period so large that you can ignore it for ordinary purposes. The random number generator works by remembering at all times a seed value which it uses to compute the next random number and also to compute a new seed.
Although the generated numbers look unpredictable within one run of a program, the sequence of numbers is exactly the same from one run to the next. This is because the initial seed is always the same. This is convenient when you are debugging a program, but it is unhelpful if you want the program to behave unpredictably. If you want truly random numbers, not just pseudo-random, specify a seed based on the current time.
You can get repeatable sequences of numbers on a particular machine type by specifying the same initial seed value for the random number generator. There is no standard meaning for a particular seed value; the same seed, used in different C libraries or on different CPU types, will give you different random numbers.
The GNU library supports the standard ANSI C random number functions
plus another set derived from BSD. We recommend you use the standard
ones, rand
and srand
.
1.6.1 ANSI C Random Number Functions | rand and friends.
| |
1.6.2 BSD Random Number Functions | random and friends.
|
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This section describes the random number functions that are part of the ANSI C standard.
To use these facilities, you should include the header file ‘stdlib.h’ in your program.
The value of this macro is an integer constant expression that
represents the maximum possible value returned by the rand
function. In the GNU library, it is 037777777
, which is the
largest signed integer representable in 32 bits. In other libraries, it
may be as low as 32767
.
The rand
function returns the next pseudo-random number in the
series. The value is in the range from 0
to RAND_MAX
.
This function establishes seed as the seed for a new series of
pseudo-random numbers. If you call rand
before a seed has been
established with srand
, it uses the value 1
as a default
seed.
To produce truly random numbers (not just pseudo-random), do srand
(time (0))
.
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This section describes a set of random number generation functions that are derived from BSD. There is no advantage to using these functions with the GNU C library; we support them for BSD compatibility only.
The prototypes for these functions are in ‘stdlib.h’.
This function returns the next pseudo-random number in the sequence.
The range of values returned is from 0
to RAND_MAX
.
The srandom
function sets the seed for the current random number
state based on the integer seed. If you supply a seed value
of 1
, this will cause random
to reproduce the default set
of random numbers.
To produce truly random numbers (not just pseudo-random), do
srandom (time (0))
.
The initstate
function is used to initialize the random number
generator state. The argument state is an array of size
bytes, used to hold the state information. The size must be at least 8
bytes, and optimal sizes are 8, 16, 32, 64, 128, and 256. The bigger
the state array, the better.
The return value is the previous value of the state information array.
You can use this value later as an argument to setstate
to
restore that state.
The setstate
function restores the random number state
information state. The argument must have been the result of
a previous call to initstate or setstate.
The return value is the previous value of the state information array.
You can use thise value later as an argument to setstate
to
restore that state.
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