dual_value

Returns the dual variable value(s) associated with a constraint
after solving. Returns <code>NULL</code> before the problem is solved.

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

dual_value function

<dl><dt>x</dt>
<dd>A <code>Constraint</code> object.</dd></dl>

Arguments

Get the Dual Value of a Constraint — dual_value

<dl>

<dt>x</dt>
<dd>A <code>Constraint</code> object.</dd>

</dl>

dual_value: Get the Dual Value of a Constraint

Description

Usage

Value

Arguments