EvalParams-class

EvalParams

perform,EvalParams,Problem-method

invert,EvalParams,Solution,list-method

This class represents a reduction that replaces symbolic parameters with
their constaint values.

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. Interfaces to solvers on CRAN and elsewhere are
provided, both commercial and open source.

Anqi Fu

CVXR

Disciplined Convex Optimization

Balasubramanian Narasimhan

David W Kang

Steven Diamond

John Miller

Stephen Boyd

Paul Kunsberg Rosenfield

EvalParams-class function

<dl><dt>object</dt>
<dd>A EvalParams object.</dd>
<dt>problem</dt>
<dd>A Problem object.</dd>
<dt>solution</dt>
<dd>A Solution to a problem that generated the inverse data.</dd>
<dt>inverse_data</dt>
<dd>The inverse data returned by an invocation to apply.</dd></dl>

Arguments

<ul>
<li><code>perform(object = EvalParams, problem = Problem)</code>: Replace parameters with constant values.</li>
<li><code>invert(object = EvalParams, solution = Solution, inverse_data = list)</code>: Returns a solution to the original problem given the inverse_data.</li>
</ul>

Methods (by generic)

The EvalParams class. — EvalParams-class

<dl>

<dt>object</dt>
<dd>A EvalParams object.</dd>


<dt>problem</dt>
<dd>A Problem object.</dd>


<dt>solution</dt>
<dd>A Solution to a problem that generated the inverse data.</dd>


<dt>inverse_data</dt>
<dd>The inverse data returned by an invocation to apply.</dd>

</dl>

EvalParams-class: The EvalParams class.

Description

Usage

Arguments

Methods (by generic)