cvxr_diff

Takes in an expression and returns an expression with the kth order
differences along the given axis. The output shape is the same as the
input except the size along the specified axis is reduced by k.

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. This version uses the S7 object system for improved
performance and maintainability.

Anqi Fu

CVXR

Disciplined Convex Optimization

Balasubramanian Narasimhan

Steven Diamond

John Miller

Stephen Boyd

cvxr_diff function

<dl><dt>x</dt>
<dd>An Expression or numeric value.</dd>
<dt>k</dt>
<dd>Integer. The number of times values are differenced. Default is 1.
(Mapped from R's <code>lag</code> argument in diff.default; use <code>differences</code> for
repeated differencing which maps to <code>k</code> here.)</dd>
<dt>axis</dt>
<dd>Integer. The axis along which the difference is taken.
2 = along rows/down columns (default), 1 = along columns/across rows.</dd></dl>

Arguments

Compute kth Order Differences of an Expression — cvxr_diff

<dl>

<dt>x</dt>
<dd>An Expression or numeric value.</dd>


<dt>k</dt>
<dd>Integer. The number of times values are differenced. Default is 1.
(Mapped from R's <code>lag</code> argument in diff.default; use <code>differences</code> for
repeated differencing which maps to <code>k</code> here.)</dd>


<dt>axis</dt>
<dd>Integer. The axis along which the difference is taken.
2 = along rows/down columns (default), 1 = along columns/across rows.</dd>

</dl>

cvxr_diff: Compute kth Order Differences of an Expression

Description

Usage

Value

Arguments