Adds runners for the four expensive-eval / gradient-free additions to
the appropriate single-objective sections of `examples/compare.rs`:
- Rastrigin (multimodal): now also shows IPOP-CMA-ES alongside vanilla
CMA-ES so the restart benefit is directly visible.
- Rosenbrock (smooth valley): adds Nelder-Mead (well-suited) and (1+1)
ES (cheap baseline).
- Ackley + Rosenbrock: BayesianOpt run with a deliberately TINY budget
(60 evaluations vs 30k for the population-based methods) so the
sample-efficiency claim is visible — BO with 60 evals vs DE/CMA-ES
with 30k.
The compare harness now sides-by-sides 23 algorithms total across the
seven benchmark problems.