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Floating-point numbers are useful for representing numbers that are
not integral. The range of floating-point numbers is
the same as the range of the C data type `double`

on the machine
you are using. On all computers supported by Emacs, this is
IEEE binary64 floating point format, which is standardized by
IEEE Std 754-2019
and is discussed further in David Goldberg’s paper
“What Every Computer Scientist Should Know About Floating-Point Arithmetic”.
On modern platforms, floating-point operations follow the IEEE-754
standard closely; however, results are not always rounded correctly on
some obsolescent platforms, notably 32-bit x86.

The read syntax for floating-point numbers requires either a decimal
point, an exponent, or both. Optional signs (‘`+`’ or ‘`-`’)
precede the number and its exponent. For example, ‘`1500.0`’,
‘`+15e2`’, ‘`15.0e+2`’, ‘`+1500000e-3`’, and ‘`.15e4`’ are
five ways of writing a floating-point number whose value is 1500.
They are all equivalent. Like Common Lisp, Emacs Lisp requires at
least one digit after a decimal point in a floating-point number that
does not have an exponent;
‘`1500.`’ is an integer, not a floating-point number.

Emacs Lisp treats `-0.0`

as numerically equal to ordinary zero
with respect to numeric comparisons like `=`

. This follows the
IEEE floating-point standard, which says `-0.0`

and
`0.0`

are numerically equal even though other operations can
distinguish them.

The IEEE floating-point standard supports positive
infinity and negative infinity as floating-point values. It also
provides for a class of values called NaN, or “not a number”;
numerical functions return such values in cases where there is no
correct answer. For example, `(/ 0.0 0.0)`

returns a NaN.
A NaN is never numerically equal to any value, not even to itself.
NaNs carry a sign and a significand, and non-numeric functions treat
two NaNs as equal when their
signs and significands agree. Significands of NaNs are
machine-dependent, as are the digits in their string representation.

When NaNs and signed zeros are involved, non-numeric functions like
`eql`

, `equal`

, `sxhash-eql`

, `sxhash-equal`

and
`gethash`

determine whether values are indistinguishable, not
whether they are numerically equal. For example, when `x` and
`y` are the same NaN, `(equal x y)`

returns `t`

whereas
`(= x y)`

uses numeric comparison and returns `nil`

;
conversely, `(equal 0.0 -0.0)`

returns `nil`

whereas
`(= 0.0 -0.0)`

returns `t`

.

Here are read syntaxes for these special floating-point values:

- infinity
‘

`1.0e+INF`’ and ‘`-1.0e+INF`’- not-a-number
‘

`0.0e+NaN`’ and ‘`-0.0e+NaN`’

The following functions are specialized for handling floating-point numbers:

- Function:
**isnan***x*¶ This predicate returns

`t`

if its floating-point argument is a NaN,`nil`

otherwise.

- Function:
**frexp***x*¶ This function returns a cons cell

`(`

, where`s`.`e`)`s`and`e`are respectively the significand and exponent of the floating-point number`x`.If

`x`is finite, then`s`is a floating-point number between 0.5 (inclusive) and 1.0 (exclusive),`e`is an integer, and`x`=`s`* 2**`e`. If`x`is zero or infinity, then`s`is the same as`x`. If`x`is a NaN, then`s`is also a NaN. If`x`is zero, then`e`is 0.

- Function:
**ldexp***s e*¶ Given a numeric significand

`s`and an integer exponent`e`, this function returns the floating point number`s`* 2**`e`.

- Function:
**copysign***x1 x2*¶ This function copies the sign of

`x2`to the value of`x1`, and returns the result.`x1`and`x2`must be floating point.

- Function:
**logb***x*¶ This function returns the binary exponent of

`x`. More precisely, if`x`is finite and nonzero, the value is the logarithm base 2 of*|x|*, rounded down to an integer. If`x`is zero or infinite, the value is infinity; if`x`is a NaN, the value is a NaN.(logb 10) ⇒ 3 (logb 10.0e20) ⇒ 69 (logb 0) ⇒ -1.0e+INF

Next: Type Predicates for Numbers, Previous: Integer Basics, Up: Numbers [Contents][Index]