… Future research directions will focus on finding similar results for affine arithmetic, with the
aim of providing a … Affine arithmetic based solution of uncertain static and dynamic problems …

… As a future work, we are going to study the application of Affine Arithmetic in order to improve
the computational time. Affine arithmetic promises to reduce overestimation problems, and …

… Affine arithmetic is a kind of interval analysis method[10-13]. An uncertain quantity can be …
An Affine Arithmetic-Based Methodology for Reliable Power Flow Analysis in the Presence of …

… Perspective: ▶ use of affine arithmetic or Taylor arithmetic to define inclusion function to
avoid dependence problem. ▶ develop polar form interval arithmetic package ▶ or dedicated …

… Affine arithmetic’s approximation schemes (eg Chebychev Approximation) give simple …
The parameter dependencies are modeled as AADD (affine arithmetic decision diagrams) […

… In [56] and [57], affine arithmetic is used to model the propagation of the quantization noise
inside the system. Affine expression allows obtaining directly a linear expression of the output …

… [39] extend on this idea and trace using reduced affine arithmetic. They also use interval
arithmetic as a fallback whenever the requirement of accurate floating-point division precludes …

… is performed with an affine arithmetic range estimation algorithm [4]. Affine arithmetic is an
… This affine arithmetic intersection algorithm, like all interval based intersection algorithms, is …

… Contrary to [22], applying the heaviest parameterized method based on affine arithmetic,
we use only interval methods that do not require affine arithmetic. The latter also implies a …

… The correlation between uncertain variables can be enhanced through employing affine
arithmetic and interval Taylor expansion [23]. Nevertheless, it also increases the computational …