A user needs to decide if applying the linear equality constraint through e.g., a predefined 17 Supporting linear equality constraints is on Meta's Adaptive Experimentation Platform wishlist. Linear equality constraints are, however, supported on the Adaptive Experimentation dependency, BoTorch, via proper sampling from a d-simplex. See for additional context. search space, is worth the implementation and computational cost given their optimization package of choice (whether this is Ax, another package, or a custom implementation). Other solutions such as Lagrange multipliers may also be used to implement linear equality constrained Bayesian optimization .