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

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

New soliton solutions to the NLSE with parabolic nonlinearity are being explored, featuring conservation laws and pulse ...

Learn the difference between linear and nonlinear structural analysis, and how to choose the best method for your civil engineering projects.

In the context of the classical linear model, the problem of comparing two arbitrary hypotheses on the regression coefficients is considered. Problems involving nonlinear hypotheses, inequality ...

BUYANG LI, HUADONG GAO, WEIWEI SUN, UNCONDITIONALLY OPTIMAL ERROR ESTIMATES OF A CRANK–NICOLSON GALERKIN METHOD FOR THE NONLINEAR THERMISTOR EQUATIONS, SIAM Journal on Numerical Analysis, Vol. 52, No.

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

In this article, the problem of generating multimodel state space descriptions in a data-driven context to embed the dynamic behavior of nonlinear systems is addressed. The proposed methodology takes ...

This technical paper presents the application of various control methods on a mechatronic laboratory setup of a rotary inverted pendulum. The full nonlinear dynamic model of the pendulum is obtained ...

Conventional vehicle suspension systems, often relying on integer-order models with fixed damping coefficients, struggle to deliver optimal performance across diverse an ...

With a panel data of Henan Province in China from 2014 to 2021, this study examines the role and mechanism of the digital economy on the integration of advanced manufacturing and modern service ...