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SumLargest-class

The SumLargest class.


Description

The sum of the largest k values of a matrix.

Usage

SumLargest(x, k)

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

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

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

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

## S4 method for signature 'SumLargest'
is_atom_convex(object)

## S4 method for signature 'SumLargest'
is_atom_concave(object)

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

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

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

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

Arguments

x

An Expression or numeric matrix.

k

The number of largest values to sum over.

object

A SumLargest object.

values

A list of numeric values for the arguments

idx

An index into the atom.

Methods (by generic)

  • to_numeric: The sum of the k largest entries of the vector or matrix.

  • validate_args: Check that k is a positive integer.

  • dim_from_args: The atom is a scalar.

  • sign_from_args: The sign of the atom.

  • is_atom_convex: The atom is convex.

  • is_atom_concave: The atom is not concave.

  • is_incr: The atom is weakly increasing in every argument.

  • is_decr: The atom is not weakly decreasing in any argument.

  • get_data: A list containing k.

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

Slots

x

An Expression or numeric matrix.

k

The number of largest values to sum over.


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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