Probabilistic Interval-Valued Computation: Toward a Practical Surrogate for Statistics Inside CAD Tools


Interval methods offer a general, fine-grain strategy for modeling correlated range uncertainties in numerical algorithms. We present a new, improved interval algebra that extends the classical affine form to a more rigorous statistical foundation. Range uncertainties now take the form of confidence intervals. In place of pessimistic interval bounds, we… (More)
DOI: 10.1145/1146909.1146955


14 Figures and Tables

Slides referencing similar topics