rsqrt.default

Element-wise inverse square root on numeric or complex vectors
(or objects which can be coerced to them).

The 'KeOps' library lets you compute generic reductions of
very large arrays whose entries are given by a mathematical formula
with CPU and GPU computing support. It combines a tiled reduction
scheme with an automatic differentiation engine. It is perfectly
suited to the efficient computation of Kernel dot products and the
associated gradients, even when the full kernel matrix does not fit
into the GPU memory.

Ghislain Durif

rkeops

Kernel Operations on GPU or CPU, with Autodiff, without Memory
Overflows

Amelie Vernay

Chloe Serre-Combe

Benjamin Charlier

Jean Feydy

Joan A. Glaunès

François-David Collin

rsqrt.default function

<dl><dt>x</dt>
<dd>a numeric or <code><a href="/link/complex?package=rkeops&version=2.2.2" data-mini-rdoc="rkeops::complex">complex</a></code> vector or array.</dd></dl>

Arguments

Author

Element-wise inverse square root operation — rsqrt.default

<dl>

<dt>x</dt>
<dd>a numeric or <code><a href='https://rdrr.io/r/base/complex.html'>complex</a></code> vector or array.</dd>

</dl>

rsqrt.default: Element-wise inverse square root operation

Description

Usage

Value

Arguments

Author

Details

See Also

Examples