.ProblemData__set_const_to_row

Set the const_to_row map of the ProblemData Object

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

.ProblemData__set_const_to_row function

<dl><dt>xp</dt>
<dd>the ProblemData Object XPtr</dd>
<dt>iv</dt>
<dd>a named integer vector with names being integers converted to characters</dd></dl>

Arguments

Set the const_to_row map of the ProblemData Object — .ProblemData__set_const_to_row

<dl>

<dt>xp</dt>
<dd>the ProblemData Object XPtr</dd>


<dt>iv</dt>
<dd>a named integer vector with names being integers converted to characters</dd>

</dl>

.ProblemData__set_const_to_row: Set the const_to_row map of the ProblemData Object

Description

Usage

Arguments