Machine_float

Numerical characteristics of the machine for floats. Contains analogues of
much of the double precision details of <code>.Machine</code>.

datasets

R comes with a suite of utilities for linear algebra with "numeric"
(double precision) vectors/matrices. However, sometimes single precision (or
less!) is more than enough for a particular task.  This package extends R's
linear algebra facilities to include 32-bit float (single precision) data.
Float vectors/matrices have half the precision of their "numeric"-type
counterparts but are generally faster to numerically operate on, for a
performance vs accuracy trade-off.  The internal representation is an S4
class, which allows us to keep the syntax identical to that of base R's.
Interaction between floats and base types for binary operators is generally
possible; in these cases, type promotion always defaults to the higher
precision.  The package ships with copies of the single precision 'BLAS' and
'LAPACK', which are automatically built in the event they are not available
on the system.

Drew Schmidt

float

32-Bit Floats

Wei-Chen Chen

Dmitriy Selivanov

ORNL 

Machine_float function

A list containing:<ul>
<li><code>float.eps</code> epsilon</li>
<li><code>float.xmin</code> smallest non-zero float</li>
<li><code>float.xmax</code> largest non-inf float</li>
<li><code>float.base</code> radix</li>
<li><code>float.digits</code> the number of bits for the sign+significand</li>
<li><code>float.exponent</code> number of bits for the exponent</li>
<li><code>float.min.exp</code> "largest negative" (smallest) integer for the
 exponent that generates a normalized floating-point number</li>
<li><code>float.max.exp</code> largest integer for the
 exponent that generates a normalized floating-point number</li>
</ul>

Machine_float: Machine_float

Description

Usage

Arguments

Format

Details