… In this approach, parameter variations and tolerances are maintained as symbolic ranges
during numerical simulation runs by using affine arithmetic. Maintaining parameter variations …

… Affine arithmetic. Affine arithmetic (AA) is an improvement over IA by tracking dependencies
between variables, thus often providing more precise results than IA [1]. In AA, a quantity x is …

… to the symbolic simulation approach utilizing affine arithmetic to allow the representation of
… Another approach using affine arithmetic, described in [31], tackles the problems of device …

… The affine arithmetic as well as most of its known extensions are covered by Section 3.3.
The Perturbed Affine Sets abstract domain is briefly introduced in Section 3.3. The last section …

Using of distributed generation resources is increasing to improve reliability in power
systems. Benefits such as reducing network losses and pollution have increased the focus on …

… operation is performed in affine arithmetic, a similar … Hansen’s generalized and affine arithmetic
approximate the … on the input values, affine arithmetic also describes the dependence of …

… to either no treatment of signal correlation, as in the cases of bitwidth or moment propagation
method, or inadequate treatment of signal correlation, as in the case of affine arithmetic …

Input-series–output-series(ISOS) system connection of dc–dc converters is suitable for high-input–voltage
and high-output-voltage applications. Input voltage sharing and output voltage …

… Affine Arithmetic Developed by Jorge Stolfi and Luiz Figueiredo [4,14], Affine arithmetic (AA)
is a method proposed to overcome the overestimation. The ideal quantities are represented …

… The use of affine arithmetic static-analysis models to track and bound round-off errors inside
… -point Designer built-in functions or affine arithmetic (AA) static analysis models to replace …