… Affine arithmetic and Bernstein hull methods for algebraic curve drawing … Approximating
implicit curves on triangulations with affine arithmetic. In: The 25th Brazilian conference on …

… Since the implemented algorithms are non-linear a new technique to evaluate the quantization
effects based on modified affine arithmetic and Legendre polynomial chaos expansion …

… Affine arithmetic [4] reduces the conservatism by tracking the dependencies between the
results of the computations and the independent sources of … An introduction to affine arithmetic …

… To overcome these shortcomings, an affine arithmetic-based method is proposed, where all
… Comparing with interval arithmetic, the affine arithmetic obtains better PF and OPF solutions…

… systems operation including interval [10], affine arithmetic [11, 12] and Taylor series [13, 14].
… Affine arithmetic is used to model the interval uncertainties and sensitivities in nodal power …

… Michael Rathmair, Christoph Luckeneder, Hermann Kaindl and Carna Radojicic present
a semi-symbolic modeling approach based on Affine Arithmetic Forms. This approach allows …

… Both of them are based on interval extensions of nonlinear function which are calculated
using generalized intervals and affine arithmetic. These interval criteria have some …

… First, seed points on the feature lines are placed by evaluating the inclusion form of the PV
criterion with reduced affine arithmetic. Second, a feature flow field is derived from the higher-…

… a set of routinely measured variables, such as the TOT and load current, identify the unknown
evolution of the HST profile by using neural network, local learning, and affine arithmetic …

… In comparison, affine arithmetic can keep track on the dependencies of variables throughout
the calculation procedure and limit the overestimation on the bounds of power flow results […