CumSum-class: The CumSum class.

In anqif/CVXR: Disciplined Convex Optimization

The CumSum class.

Description

This class represents the cumulative sum.

Usage

CumSum(expr, axis = 2)

## S4 method for signature 'CumSum'
to_numeric(object, values)

## S4 method for signature 'CumSum'
dim_from_args(object)

## S4 method for signature 'CumSum'
get_data(object)

## S4 method for signature 'CumSum'
.grad(object, values)

## S4 method for signature 'CumSum'
graph_implementation(object, arg_objs, dim, data = NA_real_)

Arguments

expr	An Expression to be summed.
axis	(Optional) The dimension across which to apply the function: 1 indicates rows, and 2 indicates columns. The default is 2.
object	A CumSum object.
values	A list of numeric values for the arguments
arg_objs	A list of linear expressions for each argument.
dim	A vector representing the dimensions of the resulting expression.
data	A list of additional data required by the atom.

Methods (by generic)

• to_numeric(CumSum): The cumulative sum of the values along the specified axis.

• dim_from_args(CumSum): The dimensions of the atom.

• get_data(CumSum): Returns the axis along which the cumulative sum is taken.

• .grad(CumSum): Gives the (sub/super)gradient of the atom w.r.t. each variable

• graph_implementation(CumSum): The graph implementation of the atom.

Slots

expr

An Expression to be summed.

axis

(Optional) The dimension across which to apply the function: 1 indicates rows, and 2 indicates columns. The default is 2.

anqif/CVXR documentation built on Feb. 6, 2024, 4:28 a.m.