Reference · The Applied Higher-Order Functions catalogue
rainbow.algorithms.proofs.ahof.cmaes-falsification
AHoF V14 CMA-ES for Falsification: adapt a Gaussian search distribution toward the failure region using the elite (lowest-cost) samples; a sample is elite when its cost is within the elite quantile: elite? cost quantile = decide (cost <= quantile). Proved native and axiom-free (decision, two positive instances, at-most certificate, negative instance). Requires audit/decide-nnrat-at-most, nnrat/at-most, nnrat/decide-at-most-true-sound (all in the D63 checkpoint). Scope (measured by the kernel): this module has 4 worked instances (statements about specific values). None of its theorems is a guarantee about the algorithm for all inputs; `lein verify rainbow.algorithms.proofs.ahof.cmaes-falsification` prints this classification.
cmaes-fal/elite?
cmaes-fal/elite? : (x₁ x₂ : ℚ≥0) → data/Bool
ℚ≥0 = nnrat/NonnegativeRational
cmaes-fal/low-cost-elite
cmaes-fal/low-cost-elite : → ce-fal/elite? 1/4 1/2 = data/true
= = equality/Eq
cmaes-fal/boundary-elite
cmaes-fal/boundary-elite : → ce-fal/elite? 1/2 1/2 = data/true
= = equality/Eq
cmaes-fal/elite-certificate
cmaes-fal/elite-certificate : → 1/4 ≤ 1/2
≤ = nnrat/at-most
cmaes-fal/high-cost-not-elite
cmaes-fal/high-cost-not-elite : → ce-fal/elite? 3/4 1/2 = data/false
= = equality/Eq