Scientists at the Institute for Photonic Quantum Systems (PhoQS) and the Paderborn Center for Parallel Computing (PC2) at ...

When the nonlinear parameters are set to zero, the MJS becomes a Markov jump linear system (MJLS) and, in the second part of the article, it is shown that the obtained filter gains derived from a set ...

Concentration polarization of ion-exchange membranes in electrodialysis units limits operational current densities to the underlimiting regime, preventing process intensification by simply increasing ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

5 Big Trends From Earnings Season: Linear and Box Office Decline, Fox News’ Trump Bump and AI Surges Pro The latest round of media and tech earnings saw Hollywood take a hit ...

Linear ad spend grew in Q1 despite economic uncertainty: iSpot While streaming continues to make gains, the increase in linear spend during the period, even despite a decline in impressions, signals a ...

Keywords: RandONets - Machine Learning - Random Projections - Shallow Neural Networks - Approximation of Linear and Nonlinear Operators - Differential Equations - Evolution Operators - DeepONet - ...

Description: Solution of nonlinear equations and simultaneous linear equations, linear least-square approximations. Chebyshev polynomials, minimax approximations, calculation of eigenvalues and ...

We put forth a hybrid-computing solution to a class of constrained nonlinear optimization problems involving nonlinear cost and linear constraints. This is accomplished by realizing gradient-flow ...