Abstract: This paper proposes a new method to obtain smooth movement in reluctance network model (RNM). RNM is built following local connection rules with distributed magneto-motive forces model ...

Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with momentum. Perfect for machine learning enthusiasts and researchers looking ...

Democratic lawmakers are divided on President Donald Trump’s decision to tap unspent defense funds to ensure troops do not miss a paycheck during the shutdown. Though some Democrats railed against ...

Abstract: Based on the historical data of the world reserve currency (WRC) shifting year (WRCSY), this paper uses Newton divided-difference (DD) table and Newton interpolation polynomial to generate ...

This project investigates the approximation capabilities of Rectified Linear Unit (ReLU) neural networks and compares their performance with classical numerical methods, specifically Finite Element ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

1 Department of Animal Sciences, University of Florida, Gainesville, FL, United States 2 Department of Animal Science, Iowa State University, Ames, IA, United States Background: To address the ...

This JavaScript code provides a Command-Line Interface (CLI) for performing polynomial interpolation using divided differences. It allows users to input a set of data points, and then computes the ...