Transpose-class: The Transpose class.

In anqif/cvxr: Disciplined Convex Optimization

The Transpose class.

Description

This class represents the matrix transpose.

Usage

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

## S4 method for signature 'Transpose'
is_symmetric(object)

## S4 method for signature 'Transpose'
is_hermitian(object)

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

## S4 method for signature 'Transpose'
is_atom_log_log_convex(object)

## S4 method for signature 'Transpose'
is_atom_log_log_concave(object)

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

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

Arguments

object	A Transpose object.
values	A list of arguments to 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(Transpose): The transpose of the given value.

• is_symmetric(Transpose): Is the expression symmetric?

• is_hermitian(Transpose): Is the expression hermitian?

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

• is_atom_log_log_convex(Transpose): Is the atom log-log convex?

• is_atom_log_log_concave(Transpose): Is the atom log-log concave?

• get_data(Transpose): Returns the axes for transposition.

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

anqif/cvxr documentation built on Nov. 11, 2024, 1:52 a.m.