I have a programming problem that I want to optimize. To optimize it I have to calculate the minimum value that's possible for one variable given a set of equations (where some but not all variables are known at runtime). Is there any good automatized system that does that job for me and that gives me a formula given my constraints?
What equations are you using? Is there something special about them which makes you think your particular problem is tractable? A Bayesian optimization hyperparameter search like Facebook's Adaptive Experimentation Platform (Ax) might help if you're searching a continuous, differentiable space. Technically-speaking, an efficient general solution is probably impossible to construct within physical reality since it involves reversing trapdoor functions.
The example looks to me like it gives the library one equation that has to be minimized. I on the other hand have a bunch of equations.