… reasons for discarding affine arithmetic (apart … affine arithmetic, and that the texture lookups
instantly break all linear dependencies. We did some preliminary tests using affine arithmetic …

… [5] use Affine Arithmetic (AA), which considers the correlations among signals, to model
range and precision analyses. However range and precision are solved in one single affine …

… to interval arithmetic, termed affine arithmetic [15], which, in many … Another advantage of
affine arithmetic is the inclusion of an … The use of affine arithmetic for prognosis purposes will be …

… There, in particular, affine arithmetic of [13] is discussed. In [5] many types of interval arithmetics
are discussed, not just affine arithmetic. Affine arithmetic deals with dependencies via a …

This text is intended as an introduction to mathematical proofs for students. It is distilled from
the lecture notes for a course focused on set theory subject matter as a means of teaching …

… In this paper, the main idea is to use affine arithmetic [4… as for interval arithmetic, affine
arithmetic can be implemented in … recalls basic definitions about affine arithmetic and affine forms. …

… Wang and Qing [30] utilized mixed interval arithmetic and affine arithmetic method to
obtain affine approximations of the objective function and constraints to transform the robust …

… Ninin et al. were guided to this choice by their affine arithmetic, but we believe that this is
a relevant approach for any global optimization solver. First, both policies are of equal status …

… encompass interval arithmetic, algorithms and applications and related topics such as the
use of floating-point arithmetic for implementation issues, variants such as affine arithmetic or …

… Affine Arithmetic is used to optimize both the range and precision of the fixed-point numbers.
Affine Arithmetic is … The difference between the two is that Affine Arithmetic uses a separate …