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Transpose-class

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: The transpose of the given value.

  • is_symmetric: Is the expression symmetric?

  • is_hermitian: Is the expression hermitian?

  • dim_from_args: The dimensions of the atom.

  • is_atom_log_log_convex: Is the atom log-log convex?

  • is_atom_log_log_concave: Is the atom log-log concave?

  • get_data: Returns the axes for transposition.

  • graph_implementation: The graph implementation of the atom.


CVXR

Disciplined Convex Optimization

v1.0-10
Apache License 2.0 | file LICENSE
Authors
Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Initial release

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