… Range results obtained by 108 random generated simulations and analytical method in [4],
which uses Affine Arithmetic (AA) to analyze integer and fractional bit-widths, are listed in …

… Abstract: From its introduction in the last decade, affine arithmetic (AA) has shown beneficial
properties to speed up the time of computation procedures in a wide variety of areas. In the …

… Several variants of interval arithmetic have been developed to cure the variable dependency
problem, such as affine arithmetic or Taylor models. They will be briefly explained in …

This paper shows the study on coordinated management of various kinds of distributed
generations (DGs) like DG1, DG2, DG3 and DG4 in distribution networks with static and realistic …

… Then, HPILF can be transformed into a number of interval load flow (ILF) calculations and
solved by the well-established affine arithmetic methods. The performance of the proposed …

… Compared with interval arithmetic, affine arithmetic can more effectively reduce the
conservativeness of the result when performing linear calculations. After the calculation steps of …

… can be obtained in an automated way through some sort of affine arithmetic, as mentioned
before. We could proceed by the affine arithmetic of Harwood20 , Ch. 3 or Taylor model …

… This article is concerned with using interval methods—such as Affine Arithmetic (aa) [6],
Revised Affine Arithmetic (raa) [5], Extension to Affine Arithmetic (eaa) [4], and Generalized …

Classical (independent) interval analysis considers a hyper-cubic input space consisting of
independent intervals. This stems from the inability of intervals to model dependence and …

… Compared to VeriPhy, we use affine arithmetic and VeriPhy uses interval arithmetic—a special
case of affine arithmetic. However, our approach needs to trust the code generation setup …