Fast Evaluation of Partial Derivatives and Interval Slopes

For functions that share intermediate results, the computation of partial derivatives can be modeled by node condensation on graphs. In this case, mixed evaluation strategies can outperform either the backward or the forward mode of automatic differentiation. In this paper we present new algorithms and heuristics to find good evaluation strategies for partial derivatives. We show that these techniques not only apply for interval derivatives but also for interval slopes.