Type:
Class
Constants:
ROUNDS : INT2FIX(FLT_ROUNDS)

Represents the rounding mode for floating point addition.

Usually defaults to 1, rounding to the nearest number.

Other modes include:

-1

Indeterminable

0

Rounding towards zero

1

Rounding to the nearest number

2

Rounding towards positive infinity

3

Rounding towards negative infinity

RADIX : INT2FIX(FLT_RADIX)

The base of the floating point, or number of unique digits used to represent the number.

Usually defaults to 2 on most systems, which would represent a base-10 decimal.

MANT_DIG : INT2FIX(DBL_MANT_DIG)

The number of base digits for the double data type.

Usually defaults to 53.

DIG : INT2FIX(DBL_DIG)

The number of decimal digits in a double-precision floating point.

Usually defaults to 15.

MIN_EXP : INT2FIX(DBL_MIN_EXP)

The smallest posable exponent value in a double-precision floating point.

Usually defaults to -1021.

MAX_EXP : INT2FIX(DBL_MAX_EXP)

The largest possible exponent value in a double-precision floating point.

Usually defaults to 1024.

MIN_10_EXP : INT2FIX(DBL_MIN_10_EXP)

The smallest negative exponent in a double-precision floating point where 10 raised to this power minus 1.

Usually defaults to -307.

MAX_10_EXP : INT2FIX(DBL_MAX_10_EXP)

The largest positive exponent in a double-precision floating point where 10 raised to this power minus 1.

Usually defaults to 308.

MIN : DBL2NUM(DBL_MIN)

The smallest positive integer in a double-precision floating point.

Usually defaults to 2.2250738585072014e-308.

MAX : DBL2NUM(DBL_MAX)

The largest possible integer in a double-precision floating point number.

Usually defaults to 1.7976931348623157e+308.

EPSILON : DBL2NUM(DBL_EPSILON)

The difference between 1 and the smallest double-precision floating point number.

Usually defaults to 2.2204460492503131e-16.

INFINITY : DBL2NUM(INFINITY)

An expression representing positive infinity.

NAN : DBL2NUM(NAN)

An expression representing a value which is ânot a numberâ.

When mathn is required, Float is changed to handle Complex numbers.

Float objects represent inexact real numbers using the native architecture's double-precision floating point representation.

Floating point has a different arithmetic and is a inexact number. So you should know its esoteric system. see following:

floor

flt.floor â integer Instance Public methods Returns the largest integer less

2015-04-07 02:27:40
round

flt.round([ndigits]) â integer or float Instance Public methods Rounds flt

2015-04-07 03:17:03
>

flt > real â true or false Instance Public methods true if

2015-04-07 01:47:59
power!

power!(other) Instance Public methods Alias for:

2015-04-07 03:07:51
<=>

float real â -1, 0, +1 or nil Instance Public methods Returns -1, 0, +1

2015-04-07 01:36:44
dclone

dclone() Instance Public methods provides a unified clone operation

2015-04-07 02:07:34
truncate

flt.truncate â integer Instance Public methods Returns flt truncated

2015-04-07 03:49:42
nan?

flt.nan? â true or false Instance Public methods Returns true

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quo

float.quo(numeric) â float Instance Public methods Returns float / numeric

2015-04-07 03:10:09
numerator

flo.numerator â integer Instance Public methods Returns the numerator. The

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