  Designing experiments for generalized linear models is difficult because
optimal designs depend on unknown parameters. The local optimality approach is
to study the regions in parameter space where a given design is optimal. In
many situations these regions are semi-algebraic. We investigate regions of
optimality using computer tools such as yalmip, qepcad, and Mathematica.
