TotalVariation

The total variation of a vector, matrix, or list of matrices.
Uses L1 norm of discrete gradients for vectors and L2 norm of discrete gradients for matrices.

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

TotalVariation function

<dl><dt>value</dt>
<dd>An Expression representing the value to take the total variation of.</dd>
<dt>...</dt>
<dd>Additional matrices extending the third dimension of value.</dd></dl>

Arguments

The TotalVariation atom. — TotalVariation

<dl>

<dt>value</dt>
<dd>An Expression representing the value to take the total variation of.</dd>


<dt>...</dt>
<dd>Additional matrices extending the third dimension of value.</dd>

</dl>

TotalVariation: The TotalVariation atom.

Description

Usage

Value

Arguments