CVXR (version 0.99-7)

LambdaMax-class: The LambdaMax class.

Description

The maximum eigenvalue of a matrix, ${\lambda }_{max}(A)$.

Usage

LambdaMax(A)
# S4 method for LambdaMax
validate_args(object)
# S4 method for LambdaMax
to_numeric(object, values)
# S4 method for LambdaMax
size_from_args(object)
# S4 method for LambdaMax
sign_from_args(object)
# S4 method for LambdaMax
is_atom_convex(object)
# S4 method for LambdaMax
is_atom_concave(object)
# S4 method for LambdaMax
is_incr(object, idx)
# S4 method for LambdaMax
is_decr(object, idx)
# S4 method for LambdaMax
graph_implementation(object, arg_objs, size,
  data = NA_real_)

Arguments

A

An '>Expression or numeric matrix.

object

A '>LambdaMax object.

values

A list of arguments to the atom.

idx

An index into the atom.

arg_objs

A list of linear expressions for each argument.

size

A vector with two elements representing the size of the resulting expression.

data

A list of additional data required by the atom.

Methods (by generic)

• validate_args: Check that A is square.

• to_numeric: The largest eigenvalue of A. Requires that A be symmetric.

• size_from_args: The atom is a scalar.

• sign_from_args: The sign of the atom is unknown.

• is_atom_convex: The atom is convex.

• is_atom_concave: The atom is not concave.

• is_incr: The atom is not monotonic in any argument.

• is_decr: The atom is not monotonic in any argument.

• graph_implementation: The graph implementation of the atom.

Slots

A

An '>Expression or numeric matrix.