A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

NLSQ is an enhanced fork of JAXFit, originally developed by Lucas R. Hofer, Milan Krstajić, and Robert P. Smith. We gratefully acknowledge their foundational work on GPU-accelerated curve fitting with ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

We demonstrate the four different parameter estimation procedures given above using real-life data. The data given in Table 3 below is obtained from Bain and Engelhardt [13] and represents the times ...

Abstract: This research paper presents a comprehensive comparative analysis of root-finding methods for nonlinear functions using Python programming language. The study focuses on three widely used ...

The three “F”s may sound like a report card we wanted to hide from our parents, but in our industry, they refer to form, fit and function. They are the cornerstones of quality in the aftermarket, and ...