We investigate a novel adaptive choice rule of the Tikhonov regularization parameter in numerical differentiation which is a classic ill-posed problem. By assuming a ...

Researchers extend the mathematical approach called automatic differentiation from machine learning to the fitting of model parameters that describe the behavior of field-effect transistors. This ...

This is a preview. Log in through your library . Abstract A robust and reliable parameter estimation is a critical issue for modeling in immunology. We developed a computational methodology for ...

This unit is intended to serve as a first course in numerical analysis. As such the fundamental areas of root finding, numerical differentiation, numerical integration and solving ordinary ...