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Reshape-class

The Reshape class.


Description

This class represents the reshaping of an expression. The operator vectorizes the expression, then unvectorizes it into the new dimensions. Entries are stored in column-major order.

Usage

Reshape(expr, new_dim)

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

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

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

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

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

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

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

Arguments

expr

An Expression or numeric matrix.

new_dim

The new dimensions.

object

A Reshape 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: Reshape the value into the specified dimensions.

  • validate_args: Check the new shape has the same number of entries as the old.

  • dim_from_args: The c(rows, cols) dimensions of the new expression.

  • 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 a list containing the new shape.

  • graph_implementation: The graph implementation of the atom.

Slots

expr

An Expression or numeric matrix.

new_dim

The new dimensions.


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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