… In an effort to capture variable correlations, and thereby produce more efficient representations,
affine arithmetic (AA) [17] has arisen, where variables are replaced by affine expressions …

… , using the affine arithmetic that … affine arithmetic do a workable job of modeling the most
likely part of the real distribution. As explained in Section II-B, however, the new affine arithmetic …

… Affine arithmetic computation turns out to be an improvement, and this thesis shows its
first use that is compatible with floating points. Unfortunately, it is not only that the errors …

… In this work, we show how to compute a strip tree representation for general coupler curves,
using affine arithmetic (see [3][4]) to find a good bounding geometry. Instead of bounding …

… simulation approach utilizing affine arithmetic to allow the … Another approach using affine
arithmetic, described in [17], … parameter expressions based on affine arithmetic. The result of the …

… Apart from the probabilistic framework, Definition 6.1 has close links with affine arithmetic in
the scalar case n = 1 for which matrices with labelled columns become vectors with labelled …

… This extension, which we call tagged error, is inspired by affine arithmetic [12] and lets us
track the evolution, amplification or dampening, of the numerical error produced by various …

… Then considering the negative correlation between the metrics, we employ Chebyshev
affine arithmetic to formulate a multi-objective optimization model, optimize power and timing …

… , where denoted, natural extension with affine arithmetic. The contracting tree is configured
to first evaluate the implicit function with affine arithmetic, then to construct the ILIE enclosure …

… , evidence theory and affine arithmetic which are merged together are applied. In order to
deal with correlation between variables, copula theory and affine arithmetic are utilized. …