Functional Bayesian Optimization

An extension of Bayesian optimization that generalizes the optimization variable from finite-dimensional vectors to infinite-dimensional function spaces. It is applicable to problems involving inherently continuous functional parameters such as control curves, material distributions, and time-varying signals.