scaled_lower_tri

Utility methods for special handling of semidefinite constraints.

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

scaled_lower_tri function

<dl><dt>matrix</dt>
<dd>The matrix to get the lower triangular matrix for</dd></dl>

Arguments

Utility methods for special handling of semidefinite constraints. — scaled_lower_tri

<dl>

<dt>matrix</dt>
<dd>The matrix to get the lower triangular matrix for</dd>

</dl>

scaled_lower_tri: Utility methods for special handling of semidefinite constraints.

Description

Usage

Value

Arguments