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:

to_r

flt.to_r â rational Instance Public methods Returns the value as a rational

2015-04-07 03:41:41
denominator

flo.denominator â integer Instance Public methods Returns the denominator

2015-04-07 02:10:26
magnitude

flt.magnitude â float Instance Public methods Returns the absolute value of

2015-04-07 02:45:07
*

float * other â float Instance Public methods Returns a new float which is

2015-04-07 01:02:16
to_i

flt.to_i â integerflt.to_int â integer Instance Public methods Returns

2015-04-07 03:31:40
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

2015-04-07 02:58:41
divmod

float.divmod(numeric) â array Instance Public methods See

2015-04-07 02:15:10
<=

flt Instance Public methods true

2015-04-07 01:34:07
**

**(other) Instance Public methods Exponentiate by other

2015-04-07 01:04:18