eigen

eigen,float32-method

Solve a system of equations or invert a float matrix.

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 

eigen function

<dl><dt>x</dt>
<dd>A float vector/matrix.</dd>
<dt>symmetric</dt>
<dd>Is the matrix symmetric? If not, it will be tested for symmetry with
<code><a href="/link/isSymmetric()?package=float&version=0.3-3" data-mini-rdoc="float::isSymmetric()">isSymmetric()</a></code>. Note that only symmetric matrices are supported at this
time.</dd>
<dt>only.values</dt>
<dd>Should only the values (and not the vectors) be returned?</dd>
<dt>EISPACK</dt>
<dd>Ignored.</dd></dl>

Arguments

eigen — eigen

<dl>

<dt>x</dt>
<dd>A float vector/matrix.</dd>


<dt>symmetric</dt>
<dd>Is the matrix symmetric? If not, it will be tested for symmetry with
<code><a href='https://rdrr.io/r/base/isSymmetric.html'>isSymmetric()</a></code>. Note that only symmetric matrices are supported at this
time.</dd>


<dt>only.values</dt>
<dd>Should only the values (and not the vectors) be returned?</dd>


<dt>EISPACK</dt>
<dd>Ignored.</dd>

</dl>

eigen: eigen

Description

Usage

Value

Arguments

Examples