Norm

Wrapper around the different norm atoms.

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

Norm function

<dl><dt>x</dt>
<dd>The matrix to take the norm of</dd>
<dt>p</dt>
<dd>The type of norm. Valid options include any positive integer, 'fro' (for frobenius),
'nuc' (sum of singular values), np.inf or 'inf' (infinity norm).</dd>
<dt>axis</dt>
<dd>(Optional) The dimension across which to apply the function: <code>1</code> indicates rows, <code>2</code> indicates columns, and <code>NA</code> indicates rows and columns. The default is <code>NA</code>.</dd>
<dt>keepdims</dt>
<dd>(Optional) Should dimensions be maintained when applying the atom along an axis? If <code>FALSE</code>, result will be collapsed into an \(n x 1\) column vector. The default is <code>FALSE</code>.</dd></dl>

Arguments

The Norm atom. — Norm

<dl>

<dt>x</dt>
<dd>The matrix to take the norm of</dd>


<dt>p</dt>
<dd>The type of norm. Valid options include any positive integer, 'fro' (for frobenius),
'nuc' (sum of singular values), np.inf or 'inf' (infinity norm).</dd>


<dt>axis</dt>
<dd>(Optional) The dimension across which to apply the function: <code>1</code> indicates rows, <code>2</code> indicates columns, and <code>NA</code> indicates rows and columns. The default is <code>NA</code>.</dd>


<dt>keepdims</dt>
<dd>(Optional) Should dimensions be maintained when applying the atom along an axis? If <code>FALSE</code>, result will be collapsed into an \(n x 1\) column vector. The default is <code>FALSE</code>.</dd>

</dl>

Norm: The Norm atom.

Description

Usage

Value

Arguments