gradient

gradient&lt;-

Used by <code>psolve()</code> with <code>requires_grad = TRUE</code> and
<code>Problem$backward()</code>. Stores a numeric array of the same shape as
the leaf, or <code>NULL</code> (the default).

An object-oriented modeling language for disciplined
convex programming (DCP) as described in Fu, Narasimhan, and Boyd
(2020, <doi:10.18637/jss.v094.i14>). It allows the user to
formulate convex optimization problems in a natural way following
mathematical convention and DCP rules. The system analyzes the
problem, verifies its convexity, converts it into a canonical
form, and hands it off to an appropriate solver to obtain the
solution. This version uses the S7 object system for improved
performance and maintainability.

Anqi Fu

CVXR

Disciplined Convex Optimization

Balasubramanian Narasimhan

Steven Diamond

John Miller

Stephen Boyd

gradient function

<dl><dt>x</dt>
<dd>A <code>Variable</code> or <code>Parameter</code>.</dd>
<dt>value</dt>
<dd>A numeric array of the same shape as <code>x</code>, or <code>NULL</code>.</dd></dl>

Arguments

Access the gradient of a Variable or Parameter — gradient

<dl>

<dt>x</dt>
<dd>A <code>Variable</code> or <code>Parameter</code>.</dd>


<dt>value</dt>
<dd>A numeric array of the same shape as <code>x</code>, or <code>NULL</code>.</dd>

</dl>

gradient: Access the gradient of a Variable or Parameter

Description

Usage

Value

Arguments