ConicSolver.get_spacing_matrix

Returns a sparse matrix that spaces out an expression.

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

ConicSolver.get_spacing_matrix function

<dl><dt>dim</dt>
<dd>A vector outlining the dimensions of the matrix.</dd>
<dt>spacing</dt>
<dd>An int of the number of rows between the start of each non-zero block.</dd>
<dt>offset</dt>
<dd>An int of the number of zeros at the beginning of the matrix.</dd></dl>

Arguments

Returns a sparse matrix that spaces out an expression. — ConicSolver.get_spacing_matrix

<dl>

<dt>dim</dt>
<dd>A vector outlining the dimensions of the matrix.</dd>


<dt>spacing</dt>
<dd>An int of the number of rows between the start of each non-zero block.</dd>


<dt>offset</dt>
<dd>An int of the number of zeros at the beginning of the matrix.</dd>

</dl>

ConicSolver.get_spacing_matrix: Returns a sparse matrix that spaces out an expression.

Description

Usage

Value

Arguments