LambdaSumLargest-class: The LambdaSumLargest class.

In CVXR: Disciplined Convex Optimization

The LambdaSumLargest class.

Description

This class represents the sum of the k largest eigenvalues of a matrix.

Usage

LambdaSumLargest(A, k)

## S4 method for signature 'LambdaSumLargest'
allow_complex(object)

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

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

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

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

Arguments

A	An Expression or numeric matrix.
k	A positive integer.
object	A LambdaSumLargest object.
values	A list of numeric values for the arguments

Methods (by generic)

• allow_complex(LambdaSumLargest): Does the atom handle complex numbers?

• to_numeric(LambdaSumLargest): Returns the largest eigenvalue of A, which must be symmetric.

• validate_args(LambdaSumLargest): Verify that the argument A is square.

• get_data(LambdaSumLargest): Returns the parameter k.

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

Slots

k

A positive integer.

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