Conv-class: The Conv class.

In CVXR: Disciplined Convex Optimization

The Conv class.

Description

This class represents the 1-D discrete convolution of two vectors.

Usage

Conv(lh_exp, rh_exp)

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

## S4 method for signature 'Conv'
validate_args(object)

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

## S4 method for signature 'Conv'
sign_from_args(object)

## S4 method for signature 'Conv'
is_incr(object, idx)

## S4 method for signature 'Conv'
is_decr(object, idx)

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

Arguments

lh_exp	An Expression or R numeric data representing the left-hand vector.
rh_exp	An Expression or R numeric data representing the right-hand vector.
object	A Conv object.
values	A list of arguments to the atom.
idx	An index into the atom.
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(Conv): The convolution of the two values.

• validate_args(Conv): Check both arguments are vectors and the first is a constant.

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

• sign_from_args(Conv): The sign of the atom.

• is_incr(Conv): Is the left-hand expression positive?

• is_decr(Conv): Is the left-hand expression negative?

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

Slots

lh_exp

An Expression or R numeric data representing the left-hand vector.

rh_exp

An Expression or R numeric data representing the right-hand vector.

CVXR documentation built on June 27, 2024, 5:11 p.m.