… Affine arithmetic enhances interval arithmetic by distinguishing errors coming from different
sources. In affine arithmetic, … By differentiating errors by their sources, affine arithmetic can …

… both interval arithmetic (IA) and affine arithmetic (AA). The former is … Therefore, we will
choose affine arithmetic as the key … Villacci, "An affine arithmetic-based methodology for reliable …

… As shown, MDSI faults are injected for the interconnects, Affine Arithmetic uncertainties are
used for faults in the analog components, stuck-at faults and other more abstract functional …

As Digital Signal Processing (DSP) systems grow in complexity, the classical simulation-based
approaches to the wordlength optimization (WLO) problem for fixed-point data …

… solutions to unconstrained global optimization problems can be obtained by combining
previous accelerations techniques for interval branch-and-bound methods with affine arithmetic, …

… Affine arithmetic (AA) is a preferable approach that takes into account the interdependency
among the signals [22], but ranges determined through AA explode during division if the …

… traditional interval-value calculations, we developed a variant of the affine arithmetic method
described in [1]. … SPICE-like Circuit Simulator all calculation is replaced by affine arithmetic …

… The aim of this section is to present the fundamentals of the IIA developed by the authors [7],
[8] in the framework of structural analysis following the philosophy of the affine arithmetic [10]…

… It can be seen that the top-curve outliers and around-curve scattered outliers that are not
recognized by affine arithmetic, but it can be effectively cleaned by the quartile algorithm. That is…

… We can adapt the previous algorithm to deal with uncertainties using affine arithmetic for …
In Case c, due to the pessimism of the affine arithmetic, we may detect some spurious …