By addressing these requirements, a robust cubic cost function model can be developed using PyTorch, tailored to the client's data and predictive needs. This structured approach will ensure that all ...

The cubic approximation of random wave drag forces is studied in this paper to simplify the applications of nonlinear wave drag forces in spectral analysis. Nonlinear spectral analysis and numerical ...

This paper analyses the local behavior of the general cubic function approximation to a function which has a given power series expansion about the origin. It is shown that the general cubic ...

Fahleson and Norman derive nonlinear optical response function and provide numerical examples featuring para-nitroaniline and neon, with results relevant for future X-ray free electron laser molecular ...

This article considers the monotone smoothing spline regression problem. We add, as the smoothness penalty term, the integral of the squared second derivative of the regression function. The objective ...