gradient

The gradient computation using a parallel application of the function <code><a rd-options="" href="/link/G_fun_cpp?package=SSDL&version=1.1" data-mini-rdoc="SSDL::G_fun_cpp">G_fun_cpp</a></code>
to a vector <code>y</code>, which is defined as a difference between a data sketch and
the decomposition sketch, i.e. \(SK - SK(D\cdot A)\).

internal

Toolbox for learning a dictionary from large-scale data collection
using the Sketched Stochastic Dictionary Learning method (see Permiakova O, Burger T.
"Sketched Stochastic Dictionary Learning for large-scale data and application to large-scale
mass spectrometry data", 2021). It includes the routines for the dictionary initialization.

Olga Permiakova

SSDL

Sketched Stochastic Dictionary Learning

Thomas Burger

gradient function

The gradient computation using a parallel application of the function <code><a rd-options='' href='G_fun_cpp'>G_fun_cpp</a></code>
to a vector <code>y</code>, which is defined as a difference between a data sketch and
the decomposition sketch, i.e. \(SK - SK(D\cdot A)\).

gradient: Supporting function for the gradient computation.

Description

Usage

Arguments

Value

See Also