Function approximation, a central theme in numerical analysis and applied mathematics, seeks to represent complex functions through simpler or more computationally tractable forms. In this context, ...

At least implicitly, functions are the daily concern of most engineers and scientists. When they are not very smooth, i.e. when they do not have a significant number of derivatives, they can be ...

Abstract: Both conventional desktop and embedded processors rely on lookup tables (LUT) and iterative interpolation/regression methods to evaluate trigonometric ...

Abstract: This paper addresses approximations to error functions and points out three representative approximations, each with its own merits. Cody's approximation is ...

Two methods are discussed which result in near minimax rational approximations to the exponential function and at the same time retain the desirable property that the approximation for negative values ...

One of the issues raised in mathematical and engineering sciences is the ap proximation of a function. Function approximation means that, by having the ability to calculate the value of an unknown ...

A short and sweet library handling uncertainty in calculations. Can use both standard, probabilistic uncertainties and maximal uncertainties for arbitrary functions over arbitrary variables.