Admissibility for constraint group

Evaluate the value of the admissibility function `kappa`.

Usage

group_admissibility(state, constraints, log = TRUE)

admissibility(state, constraint_list, log = TRUE)

Arguments

state

a binary membership vector describing a feature set

constraints

group of constraints with common block matrix

log

whether the admissibility should be returned on log scale

constraint_list

a list of constraint groups, each containing a matrix `A` and a vector `b` representing the inequality system `Ax<=b`, a vector `rho`, and a matrix `block_matrix`

Value

an admissibility value

Functions

• group_admissibility(): computes admissibility for a group of constraints (with a common block).